Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix for all scenarios for each case study

Who hit whom matrix of each case study (by baseline + scenarios)

Antofagasta

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
car	3	0.16	0.78	0		0.2	5
bus	0.27	0.01	0.06	0.55		0.02	0.92
truck	1	0.05	0.24	2		0	3
other	0.27	0.01	0.06	0.55		0.02	0.92
NOV			1	6	1	2	11
Total	5	0.23	2	10	1	2	21

Bicycling mean WHW

Strike Mode	Casualty Mode
car	3	1	0.71	0		0.19	5
bus	0.25	0.11	0.06	0.52		0.02	0.95
truck	0.98	0.44	0.22	2		0	4
other	0.25	0.11	0.06	0.53		0.02	0.96
NOV			1	6	1	2	11
Total	5	2	2	9	1	2	22

Driving mean WHW

Strike Mode	Casualty Mode
car	4	0.15	0.8	0		0.21	5
bus	0.23	0.01	0.05	0.52		0.01	0.83
truck	1	0.04	0.22	2		0	4
other	0.27	0.01	0.06	0.59		0.02	0.95
NOV			1	7	1	2	11
Total	5	0.22	2	10	1	2	21

Public Transport mean WHW

Strike Mode	Casualty Mode
car	3	0.12	0.66	0		0.17	4
bus	0.36	0.01	0.07	0.54		0.02	1
truck	1	0.04	0.23	2		0	3
other	0.29	0.01	0.06	0.44		0.01	0.82
NOV			1	6	2	2	10
Total	5	0.19	2	8	2	2	20

Motorcycling mean WHW

Strike Mode	Casualty Mode
car	3	0.14	3	0		0.18	7
bus	0.25	0.01	0.25	0.47		0.01	1
truck	1	0.05	1	2		0	4
other	0.26	0.01	0.27	0.5		0.02	1
NOV			6	6	1	2	15
Total	5	0.21	11	9	1	2	28

[1] “ub”

Baseline ub WHW

Strike Mode	Casualty Mode
car	11	1	3	0		2	18
bus	1	0.14	0.36	2		0.2	4
truck	4	0.46	1	7		0	12
other	1	0.14	0.36	2		0.2	4
NOV			4	17	5	6	31
Total	18	2	9	28	5	9	70

Bicycling ub WHW

Strike Mode	Casualty Mode
car	10	13	3	0		2	28
bus	1	1	0.33	2		0.19	5
truck	4	4	1	7		0	16
other	1	1	0.33	2		0.19	5
NOV			4	16	4	6	30
Total	16	21	8	27	4	8	85

Driving ub WHW

Strike Mode	Casualty Mode
car	11	1	3	0		2	18
bus	1	0.12	0.3	2		0.18	4
truck	4	0.42	1	7		0	12
other	1	0.13	0.35	3		0.2	4
NOV			4	18	4	6	32
Total	18	2	9	30	4	9	71

Public Transport ub WHW

Strike Mode	Casualty Mode
car	11	1	3	0		2	16
bus	2	0.14	0.39	2		0.22	5
truck	4	0.42	1	6		0	12
other	1	0.12	0.32	2		0.18	4
NOV			4	14	5	6	29
Total	18	2	8	24	5	8	66

Motorcycling ub WHW

Strike Mode	Casualty Mode
car	10	1	13	0		2	26
bus	1	0.12	1	2		0.18	5
truck	4	0.44	5	6		0	15
other	1	0.13	1	2		0.19	5
NOV			21	15	4	6	47
Total	16	2	41	26	4	8	97

[1] “lb”

Baseline lb WHW

Strike Mode	Casualty Mode
car	1	0.02	0.21	0		0.02	1
bus	0.06	0	0.01	0.14		0	0.21
truck	0.31	0.01	0.06	0.72		0	1
other	0.06	0	0.01	0.14		0	0.21
NOV			0.34	3	0.42	0.69	4
Total	2	0.03	0.63	4	0.42	0.72	7

Bicycling lb WHW

Strike Mode	Casualty Mode
car	1	0.15	0.19	0		0.02	1
bus	0.06	0.01	0.01	0.13		0	0.21
truck	0.29	0.04	0.05	0.7		0	1
other	0.06	0.01	0.01	0.13		0	0.21
NOV			0.32	2	0.41	0.69	4
Total	2	0.21	0.58	3	0.41	0.72	7

Driving lb WHW

Strike Mode	Casualty Mode
car	1	0.02	0.22	0		0.02	1
bus	0.05	0	0.01	0.13		0	0.2
truck	0.3	0	0.05	0.76		0	1
other	0.06	0	0.01	0.15		0	0.22
NOV			0.32	3	0.38	0.69	4
Total	2	0.02	0.61	4	0.38	0.72	7

Public Transport lb WHW

Strike Mode	Casualty Mode
car	1	0.01	0.18	0		0.02	1
bus	0.08	0	0.01	0.14		0	0.23
truck	0.36	0	0.05	0.63		0	1
other	0.07	0	0.01	0.11		0	0.19
NOV			0.33	2	0.48	0.69	4
Total	2	0.02	0.59	3	0.48	0.72	7

Motorcycling lb WHW

Strike Mode	Casualty Mode
car	1	0.02	0.88	0		0.02	2
bus	0.06	0	0.05	0.12		0	0.22
truck	0.3	0	0.25	0.67		0	1
other	0.06	0	0.05	0.13		0	0.24
NOV			2	2	0.4	0.69	5
Total	2	0.02	3	3	0.4	0.72	9

Arica

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
car	6	0.71	0.57	0	0.15	0.19	8
bus	0.76	0.08	0.07	0.44	0	0.02	1
truck	2	0.27	0.21	1	0.06	0	4
other	0.75	0.08	0.07	0.44	0.02	0.02	1
NOV	0.23		1	7	0.23	2	11
Total	11	1	2	9	0.46	3	26

Bicycling mean WHW

Strike Mode	Casualty Mode
car	6	2	0.51	0	0.14	0.18	9
bus	0.69	0.26	0.06	0.41	0	0.02	1
truck	2	0.85	0.2	1	0.06	0	5
other	0.72	0.26	0.06	0.42	0.02	0.02	2
NOV	0.22		1	7	0.22	2	11
Total	10	4	2	9	0.43	3	27

Driving mean WHW

Strike Mode	Casualty Mode
car	7	0.71	0.56	0	0.13	0.2	8
bus	0.58	0.06	0.05	0.38	0	0.02	1
truck	2	0.25	0.2	2	0.05	0	4
other	0.74	0.08	0.06	0.48	0.01	0.02	1
NOV	0.22		1	8	0.18	2	11
Total	10	1	2	10	0.38	3	26

Public Transport mean WHW

Strike Mode	Casualty Mode
car	6	0.57	0.47	0	0.17	0.16	7
bus	1	0.1	0.09	0.5	0	0.03	2
truck	3	0.25	0.21	1	0.08	0	4
other	0.77	0.07	0.06	0.36	0.02	0.02	1
NOV	0.25		1	6	0.3	2	10
Total	11	0.99	2	8	0.57	2	25

Motorcycling mean WHW

Strike Mode	Casualty Mode
car	6	0.61	3	0	0.12	0.17	9
bus	0.65	0.07	0.3	0.36	0	0.02	1
truck	2	0.25	1	1	0.05	0	5
other	0.71	0.08	0.33	0.39	0.02	0.02	2
NOV	0.22		6	7	0.2	2	15
Total	10	1	10	9	0.39	2	32

[1] “ub”

Baseline ub WHW

Strike Mode	Casualty Mode
car	9	2	2	0	1	1	15
bus	2	0.28	0.24	1	0	0.19	4
truck	4	0.73	0.64	3	0.45	0	9
other	2	0.28	0.24	1	0.16	0.19	4
NOV	2		3	10	2	4	21
Total	19	3	6	15	3	6	52

Bicycling ub WHW

Strike Mode	Casualty Mode
car	8	5	1	0	1	1	18
bus	2	0.85	0.22	1	0	0.18	4
truck	4	2	0.6	3	0.43	0	10
other	2	0.88	0.23	1	0.15	0.19	4
NOV	2		3	10	2	4	20
Total	17	9	5	15	3	6	56

Driving ub WHW

Strike Mode	Casualty Mode
car	9	2	2	0	0.99	1	15
bus	1	0.21	0.18	1	0	0.15	3
truck	4	0.68	0.59	3	0.36	0	9
other	2	0.27	0.23	1	0.13	0.19	4
NOV	2		3	11	1	4	21
Total	18	3	5	16	3	6	51

Public Transport ub WHW

Strike Mode	Casualty Mode
car	9	1	1	0	1	1	14
bus	3	0.34	0.31	1	0	0.25	5
truck	4	0.67	0.62	2	0.59	0	9
other	2	0.25	0.22	0.95	0.19	0.18	4
NOV	2		3	9	2	4	20
Total	19	3	5	13	4	6	51

Motorcycling ub WHW

Strike Mode	Casualty Mode
car	8	2	7	0	0.92	1	19
bus	2	0.23	1	0.94	0	0.17	4
truck	4	0.68	3	3	0.39	0	11
other	2	0.25	1	1	0.13	0.18	4
NOV	2		14	9	1	4	31
Total	17	3	27	14	3	6	70

[1] “lb”

Baseline lb WHW

Strike Mode	Casualty Mode
car	4	0.28	0.2	0	0.02	0.02	5
bus	0.32	0.03	0.02	0.17	0	0	0.53
truck	1	0.1	0.07	0.7	0.01	0	2
other	0.32	0.02	0.02	0.17	0	0	0.53
NOV	0.03		0.47	5	0.03	1	7
Total	7	0.43	0.78	6	0.06	1	15

Bicycling lb WHW

Strike Mode	Casualty Mode
car	4	0.86	0.18	0	0.02	0.02	5
bus	0.29	0.08	0.02	0.15	0	0	0.54
truck	1	0.31	0.07	0.67	0.01	0	2
other	0.3	0.08	0.02	0.16	0	0	0.56
NOV	0.03		0.44	5	0.03	1	6
Total	6	1	0.73	6	0.06	1	15

Driving lb WHW

Strike Mode	Casualty Mode
car	5	0.28	0.2	0	0.02	0.03	5
bus	0.25	0.02	0.01	0.15	0	0	0.43
truck	1	0.09	0.07	0.75	0.01	0	2
other	0.31	0.02	0.02	0.18	0	0	0.54
NOV	0.03		0.43	5	0.02	1	7
Total	6	0.42	0.73	6	0.05	1	15

Public Transport lb WHW

Strike Mode	Casualty Mode
car	4	0.23	0.17	0	0.02	0.02	5
bus	0.45	0.03	0.02	0.19	0	0	0.7
truck	2	0.09	0.07	0.61	0.01	0	2
other	0.33	0.02	0.02	0.14	0	0	0.51
NOV	0.03		0.45	4	0.04	1	6
Total	6	0.37	0.74	5	0.08	1	14

Motorcycling lb WHW

Strike Mode	Casualty Mode
car	4	0.24	0.96	0	0.02	0.02	5
bus	0.27	0.02	0.08	0.14	0	0	0.52
truck	1	0.09	0.37	0.65	0.01	0	2
other	0.3	0.02	0.09	0.15	0	0	0.57
NOV	0.03		2	5	0.03	1	8
Total	6	0.38	4	5	0.05	1	17

Belo Horizonte

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
pedestrian	2	0.07	0.99	0.35	0.02	0.02		0.02	3
cycle	0.94	0	0.58	0.21	0.01	0.01		0.01	2
motorcycle	40	2	0	9	0.39	0.53		0.5	52
car	61	3	38	0	0.59	0.81		0.76	104
bus	60	3	37	13	0	0.79		0.73	114
rail	3	0.12	2	0.6	0.03	0.04		0.03	5
other	0.46	0.02	0.28	0.1	0	0.01		0.01	0.88
NOV		8	53	71	4	5	0.15	50	191
Total	167	15	131	94	5	7	0.15	52	472

Bicycling mean WHW

Strike Mode	Casualty Mode
pedestrian	1	0.29	0.94	0.33	0.01	0.02		0.02	3
cycle	4	0	2	0.87	0.04	0.05		0.05	7
motorcycle	38	7	0	8	0.37	0.52		0.48	55
car	57	11	36	0	0.56	0.79		0.72	107
bus	56	11	35	12	0	0.77		0.7	117
rail	3	0.51	2	0.58	0.03	0.04		0.03	5
other	0.43	0.08	0.27	0.1	0	0.01		0.01	0.9
NOV		34	52	69	4	5	0.14	48	213
Total	160	65	129	92	5	7	0.14	50	508

Driving mean WHW

Strike Mode	Casualty Mode
pedestrian	1	0.06	0.85	0.38	0.01	0.02		0.02	3
cycle	0.78	0	0.46	0.21	0.01	0.01		0.01	1
motorcycle	35	1	0	9	0.32	0.48		0.41	46
car	66	3	39	0	0.61	0.92		0.77	110
bus	51	2	30	13	0	0.71		0.6	98
rail	2	0.1	1	0.63	0.02	0.03		0.03	5
other	0.39	0.02	0.23	0.1	0	0.01		0	0.75
NOV		7	48	81	4	5	0.13	45	189
Total	157	13	121	105	5	7	0.13	46	454

Public Transport mean WHW

Strike Mode	Casualty Mode
pedestrian	2	0.07	0.93	0.33	0.02	0.02		0.02	3
cycle	0.91	0	0.48	0.17	0.01	0.01		0.01	2
motorcycle	38	1	0	7	0.41	0.48		0.39	48
car	57	2	30	0	0.62	0.72		0.59	91
bus	74	3	39	14	0	0.94		0.77	132
rail	3	0.11	2	0.54	0.03	0.04		0.03	5
other	0.42	0.02	0.22	0.08	0	0.01		0	0.75
NOV		7	48	63	5	5	0.15	44	171
Total	175	14	120	85	6	7	0.15	45	453

Motorcycling mean WHW

Strike Mode	Casualty Mode
pedestrian	2	0.06	1	0.32	0.01	0.02		0.02	3
cycle	0.87	0	0.79	0.18	0.01	0.01		0.01	2
motorcycle	55	2	0	12	0.51	0.76		0.67	71
car	56	2	50	0	0.52	0.76		0.67	110
bus	54	2	49	11	0	0.74		0.65	118
rail	2	0.11	2	0.53	0.02	0.03		0.03	5
other	0.42	0.02	0.38	0.09	0	0.01		0.01	0.92
NOV		7	75	67	4	5	0.14	47	205
Total	170	15	180	91	5	7	0.14	49	517

[1] “ub”

Baseline ub WHW

Strike Mode	Casualty Mode
pedestrian	3	0.12	2	0.58	0.04	0.04		0.04	5
cycle	2	0	1	0.39	0.03	0.03		0.03	3
motorcycle	46	2	0	11	0.88	0.94		0.89	61
car	67	4	42	0	1	1		1	117
bus	65	4	41	16	0	1		1	128
rail	4	0.19	2	0.9	0.06	0.07		0.07	8
other	1	0.05	0.69	0.25	0.01	0.02		0.02	2
NOV		10	59	78	6	7	1	56	219
Total	188	20	149	107	9	11	1	60	544

Bicycling ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.51	2	0.54	0.04	0.04		0.04	5
cycle	7	0	5	2	0.11	0.13		0.12	14
motorcycle	43	10	0	10	0.85	0.92		0.86	66
car	63	15	40	0	1	1		1	122
bus	61	15	40	15	0	1		1	134
rail	4	0.83	2	0.86	0.06	0.07		0.06	8
other	1	0.22	0.66	0.23	0.01	0.02		0.02	2
NOV		46	58	76	6	7	1	55	249
Total	182	88	148	105	8	11	1	58	601

Driving ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.1	1	0.62	0.03	0.04		0.04	5
cycle	1	0	0.87	0.39	0.02	0.03		0.02	3
motorcycle	39	2	0	11	0.72	0.85		0.73	54
car	73	4	44	0	1	2		1	124
bus	56	3	34	16	0	1		1	111
rail	3	0.15	2	0.93	0.05	0.06		0.05	7
other	0.94	0.04	0.56	0.25	0.01	0.02		0.01	2
NOV		9	54	89	6	7	1	50	217
Total	176	18	137	119	8	11	1	53	522

Public Transport ub WHW

Strike Mode	Casualty Mode
pedestrian	3	0.12	2	0.54	0.05	0.05		0.04	5
cycle	2	0	0.9	0.32	0.03	0.03		0.02	3
motorcycle	43	2	0	9	0.94	0.84		0.7	56
car	62	3	34	0	1	1		1	103
bus	81	4	44	16	0	2		1	149
rail	4	0.18	2	0.8	0.08	0.07		0.06	8
other	1	0.04	0.54	0.19	0.02	0.02		0.01	2
NOV		10	53	70	7	7	1	49	197
Total	196	19	136	96	10	11	1	52	522

Motorcycling ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.11	2	0.53	0.04	0.04		0.04	5
cycle	2	0	1	0.35	0.02	0.03		0.02	4
motorcycle	62	3	0	14	1	1		1	84
car	61	3	56	0	1	1		1	124
bus	59	3	55	14	0	1		1	133
rail	4	0.17	3	0.79	0.06	0.07		0.06	8
other	1	0.05	0.92	0.22	0.01	0.02		0.01	2
NOV		10	84	73	6	7	1	53	235
Total	191	20	203	103	8	11	1	56	595

[1] “lb”

Baseline lb WHW

Strike Mode	Casualty Mode
pedestrian	1	0.04	0.62	0.21	0.01	0.01		0.01	2
cycle	0.5	0	0.31	0.11	0	0.01		0	0.94
motorcycle	36	1	0	7	0.17	0.3		0.28	45
car	56	2	34	0	0.26	0.46		0.42	93
bus	54	2	33	11	0	0.45		0.41	101
rail	2	0.07	1	0.41	0.01	0.02		0.02	4
other	0.19	0.01	0.12	0.04	0	0		0	0.36
NOV		6	47	64	3	3	0.02	44	168
Total	150	11	116	83	3	5	0.02	45	414

Bicycling lb WHW

Strike Mode	Casualty Mode
pedestrian	0.92	0.17	0.58	0.2	0.01	0.01		0.01	2
cycle	2	0	1	0.46	0.01	0.02		0.02	4
motorcycle	34	5	0	7	0.16	0.3		0.26	47
car	52	8	32	0	0.25	0.45		0.4	94
bus	51	8	32	10	0	0.44		0.39	102
rail	2	0.32	1	0.39	0.01	0.02		0.02	4
other	0.18	0.03	0.11	0.04	0	0		0	0.37
NOV		25	47	63	3	3	0.02	43	184
Total	142	47	114	81	3	5	0.02	44	436

Driving lb WHW

Strike Mode	Casualty Mode
pedestrian	0.9	0.03	0.53	0.23	0.01	0.01		0.01	2
cycle	0.42	0	0.25	0.11	0	0		0	0.79
motorcycle	31	1	0	8	0.14	0.27		0.23	40
car	60	2	35	0	0.27	0.53		0.43	99
bus	47	2	27	11	0	0.41		0.33	87
rail	2	0.06	0.98	0.42	0.01	0.02		0.01	3
other	0.16	0.01	0.1	0.04	0	0		0	0.31
NOV		5	43	73	2	3	0.02	40	167
Total	141	10	107	93	3	5	0.02	41	399

Public Transport lb WHW

Strike Mode	Casualty Mode
pedestrian	1	0.04	0.58	0.2	0.01	0.01		0.01	2
cycle	0.49	0	0.26	0.09	0	0		0	0.84
motorcycle	34	1	0	6	0.18	0.27		0.22	41
car	52	2	27	0	0.27	0.41		0.33	81
bus	68	2	35	11	0	0.53		0.43	117
rail	2	0.07	1	0.36	0.01	0.02		0.02	4
other	0.17	0.01	0.09	0.03	0	0		0	0.31
NOV		5	43	57	3	3	0.02	39	150
Total	157	10	107	75	4	5	0.02	40	397

Motorcycling lb WHW

Strike Mode	Casualty Mode
pedestrian	0.94	0.04	0.85	0.19	0.01	0.01		0.01	2
cycle	0.46	0	0.42	0.1	0	0.01		0	0.99
motorcycle	49	2	0	10	0.23	0.43		0.37	62
car	51	2	45	0	0.23	0.43		0.37	99
bus	49	2	44	10	0	0.42		0.36	105
rail	2	0.07	2	0.36	0.01	0.02		0.02	4
other	0.17	0.01	0.16	0.04	0	0		0	0.38
NOV		6	67	60	3	3	0.02	42	181
Total	152	11	159	80	3	5	0.02	43	453

Bogota

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
cycle	2	0	2	0.1	0.02	0.01	4
motorcycle	36	12	0	2	0.46	0.13	51
car	51	17	57	0	0.64	0.18	126
bus	39	13	44	2	0	0.14	98
truck	35	12	39	2	0.44	0	88
NOV	4	8	53	15	6	1	87
Total	167	63	195	21	7	2	455

Bicycling mean WHW

Strike Mode	Casualty Mode
cycle	3	0	3	0.16	0.04	0.01	6
motorcycle	34	18	0	2	0.44	0.12	54
car	48	25	55	0	0.62	0.17	129
bus	36	19	42	2	0	0.13	100
truck	33	18	38	2	0.43	0	91
NOV	4	12	52	14	6	1	90
Total	158	93	192	20	7	2	471

Driving mean WHW

Strike Mode	Casualty Mode
cycle	2	0	2	0.1	0.02	0.01	4
motorcycle	32	11	0	2	0.4	0.12	46
car	54	18	61	0	0.67	0.2	134
bus	34	12	39	2	0	0.13	87
truck	33	11	37	2	0.41	0	83
NOV	4	8	50	17	5	1	85
Total	159	59	189	23	7	2	439

Public Transport mean WHW

Strike Mode	Casualty Mode
cycle	2	0	2	0.08	0.02	0.01	3
motorcycle	32	9	0	1	0.46	0.11	43
car	45	13	43	0	0.66	0.15	102
bus	46	14	43	2	0	0.16	104
truck	35	10	33	2	0.52	0	81
NOV	4	8	45	13	7	1	78
Total	163	54	166	18	8	2	411

Motorcycling mean WHW

Strike Mode	Casualty Mode
cycle	2	0	2	0.09	0.02	0.01	4
motorcycle	46	15	0	2	0.57	0.17	64
car	46	15	67	0	0.57	0.17	129
bus	35	12	51	2	0	0.13	100
truck	33	11	49	2	0.41	0	95
NOV	4	8	67	14	5	1	99
Total	165	61	236	20	7	2	491

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Buenos Aires

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cali

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Copiapo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Coquimbo Laserena

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Gran Valparaiso

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Iquique Altohospicio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Medellin

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Mexico City

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Montevideo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Osorno

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Puerto Montt

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

San Antonio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Santiago

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Sao Paulo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Temuco Padrelascasas

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Valdivia

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Accra

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bangalore

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cape Town

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Delhi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Vizag

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Kisumu

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Nairobi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Port Louis

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Who hit whom matrix for all case cities

Baseline scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Bicycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Driving scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Public Transport scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Motorcycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Change in deaths due to injury per billion km

[1] NA

antofagasta mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.0576	1.3744898	3.0660	1.331324	3.1288	1.2318724	2.9926	1.5703302	3.1184	1.2852259
car	17.4095	9.6214286	17.4407	9.326163	16.2350	10.2700814	17.8723	8.3556704	17.5428	8.9139517
cycle	95.3573	0.2290816	44.4304	2.050156	99.2881	0.2198768	88.4000	0.1919912	89.3096	0.2084534
motorcycle	157.4219	2.2908163	157.3265	2.116976	162.6145	2.1999485	153.0389	2.1155867	97.6900	10.5725083
pedestrian	107.0942	5.0397959	104.9451	4.628798	113.2222	5.0443569	100.9329	5.2751424	102.2116	4.6379445
truck	11.0045	2.2908163	10.9734	2.284347	11.0722	2.3049236	10.8888	2.2667411	10.9343	2.2762111

[1] “ub”

antofagasta ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	10.1208	4.549664	10.1571	4.410376	10.3600	4.078953	9.9029	5.196341	10.3175	4.252246
car	50.6001	27.964271	50.6138	27.065013	47.0948	29.791653	52.0785	24.347755	50.8866	25.856843
cycle	887.8278	2.132873	445.7849	20.569883	926.8310	2.052498	824.5065	1.790702	833.5053	1.945445
motorcycle	614.7988	8.946600	616.5052	8.295659	636.4837	8.610739	594.3234	8.215838	375.4138	40.629205
pedestrian	373.2241	17.563730	366.6012	16.169634	392.8266	17.501498	352.5202	18.424069	357.3375	16.214517
truck	40.8667	8.507286	40.5543	8.442252	41.5067	8.640533	39.7556	8.276001	40.1654	8.361309

[1] “lb”

antofagasta lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9446	0.4246296	0.9464	0.4109473	0.9661	0.3803675	0.9239	0.4848097	0.9639	0.3972693
car	6.4278	3.5523456	6.4469	3.4473688	6.0036	3.7977964	6.5829	3.0776449	6.4857	3.2955622
cycle	10.4403	0.0250812	4.6037	0.2124290	10.8521	0.0240322	9.6646	0.0209899	9.7609	0.0227825
motorcycle	43.5346	0.6335193	43.4157	0.5841992	44.9749	0.6084477	42.4148	0.5863363	26.8862	2.9097674
pedestrian	34.6777	1.6319123	33.9224	1.4962116	36.8546	1.6419735	32.5591	1.7016649	33.0096	1.4978403
truck	3.4496	0.7181110	3.4463	0.7174205	3.4572	0.7196949	3.4368	0.7154435	3.4421	0.7165445

[1] NA

arica mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.6860	0.4581633	3.6605	0.4312669	3.9226	0.3785155	3.2748	0.5704910	3.6670	0.3900131
car	34.5337	9.3923469	34.8362	8.9745179	30.4922	9.9726964	35.7300	8.1702794	34.7432	8.5574484
cycle	108.2140	1.1454082	86.4816	3.5279830	112.7733	1.1030689	103.4131	0.9883559	102.9315	0.9997114
motorcycle	198.6391	2.0617347	197.4586	1.9184218	204.9824	1.9297619	192.5833	1.9413611	144.7474	10.2611963
pedestrian	286.1972	10.5377551	280.0883	9.7930743	297.2514	10.3712602	263.2808	10.6071792	269.5193	9.6651348
truck	22.8131	2.5198980	22.7329	2.5110386	22.8986	2.5293405	22.6298	2.4996541	22.6451	2.5013479

[1] “ub”

arica ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	27.6775	3.440297	27.4894	3.238663	29.4556	2.842341	24.5927	4.284148	27.5362	2.928691
car	56.3069	15.314118	56.7256	14.613706	49.4835	16.183965	58.7082	13.424635	56.4021	13.892146
cycle	289.7317	3.066712	231.7528	9.454270	300.2693	2.937023	280.0028	2.676087	275.7569	2.678259
motorcycle	530.4063	5.505245	526.7226	5.117406	546.7575	5.147329	515.0646	5.192175	385.4539	27.324969
pedestrian	504.8156	18.587264	495.8864	17.338292	518.3314	18.084861	475.5333	19.158504	478.2004	17.148577
truck	54.9246	6.066891	54.3181	5.999894	55.5193	6.132578	53.6312	5.924019	53.6411	5.925117

[1] “lb”

arica lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.4914	0.0610821	0.4880	0.0574913	0.5229	0.0504615	0.4366	0.0760520	0.4889	0.0519946
car	22.0510	5.9973277	22.2632	5.7354684	19.5305	6.3876152	22.6985	5.1904007	22.2482	5.4798636
cycle	40.8206	0.4320718	32.5943	1.3296723	42.7445	0.4180963	38.6262	0.3691648	38.7986	0.3768270
motorcycle	75.2915	0.7814724	74.9189	0.7278789	77.7304	0.7317757	72.9636	0.7355195	55.0033	3.8992023
pedestrian	176.9627	6.5157494	172.8012	6.0418635	185.3837	6.4681370	159.8790	6.4412771	166.1558	5.9584531
truck	11.2901	1.2470910	11.2795	1.2459167	11.3023	1.2484315	11.2644	1.2442489	11.2681	1.2446553

[1] NA

belo_horizonte mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.3813	5.1450544	1.3878	5.0550723	1.4181	4.6962287	1.2986	5.9912962	1.4294	4.9296170
car	17.2422	94.0809950	17.3801	91.6961065	16.5088	104.8428430	17.8991	84.8526889	17.9314	90.8782542
cycle	172.9881	14.9941586	136.8416	64.6578301	176.7959	13.1267860	176.1082	13.8203744	179.6758	14.6420211
motorcycle	73.0562	131.2723884	73.2024	129.1402955	74.7059	120.7357151	76.1931	120.3699349	67.7785	179.5232516
other	92.4962	51.7445473	92.9465	50.4780934	94.2658	46.4065241	94.6369	45.3302782	93.6592	48.9944901
pedestrian	228.7807	167.2877693	229.9265	159.6150879	229.5989	156.7797164	227.1398	174.8993747	242.5456	170.3136347
rail	0.1696	0.1470016	0.1701	0.1448435	0.1721	0.1336762	0.1696	0.1470016	0.1714	0.1374755
truck	3.6078	7.2030762	3.6046	7.1966518	3.5999	7.1872046	3.6092	7.2058693	3.6674	7.3221071

[1] “ub”

belo_horizonte ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.2946	8.546836	2.3106	8.416077	2.3622	7.822892	2.1404	9.874984	2.3949	8.258978
car	19.5641	106.750038	19.8111	104.521401	18.6950	118.726648	20.3223	96.340418	20.3835	103.305583
cycle	236.0667	20.461650	186.7067	88.219124	241.1617	17.905830	240.2766	18.856095	245.2849	19.988599
motorcycle	82.7331	148.660571	83.7013	147.661953	84.4904	136.548902	86.2303	136.226758	76.7467	203.277047
other	106.5268	59.593601	107.0759	58.151621	108.5427	53.434981	108.9925	52.206516	107.9950	56.493805
pedestrian	256.9055	187.853050	261.4662	181.509942	257.3366	175.720147	254.7349	196.147830	272.5374	191.373654
rail	1.4719	1.275719	1.4758	1.256990	1.4937	1.160078	1.4719	1.275719	1.4877	1.193049
truck	5.5795	11.139633	5.5851	11.150817	5.5641	11.108881	5.5812	11.142931	5.6844	11.349087

[1] “lb”

belo_horizonte lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.8555	3.186333	0.8585	3.1271696	0.8762	2.9017843	0.8091	3.733052	0.8793	3.0323132
car	15.2523	83.223222	15.3338	80.8998498	14.6291	92.9054180	15.8213	75.002741	15.8318	80.2370112
cycle	126.9132	11.000506	100.4103	47.4439717	129.7498	9.6336895	129.2207	10.140806	131.7607	10.7373559
motorcycle	64.7925	116.423576	64.5400	113.8584154	66.3130	107.1714712	67.5980	106.791472	60.1159	159.2273704
other	81.0119	45.319972	81.4008	44.2077658	82.5716	40.6495319	82.8859	39.701678	81.9664	42.8778618
pedestrian	204.9314	149.848802	204.3732	141.8759818	205.9540	140.6339719	203.6681	156.826060	216.9965	152.3733031
rail	0.0195	0.016939	0.0196	0.0166904	0.0198	0.0154036	0.0195	0.016939	0.0198	0.0158414
truck	2.3536	4.698986	2.3490	4.6897863	2.3494	4.6906959	2.3546	4.700969	2.3874	4.7665365

[1] NA

bogota mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.5198	7.347687	0.5210	7.189438	0.5296	6.922504	0.4951	8.332384	0.5329	7.044490
car	2.0056	20.707117	2.0115	20.223046	1.9037	23.160916	2.0668	18.005502	2.0766	19.920139
cycle	56.8204	63.011979	45.4593	92.555370	57.9469	59.269392	56.0671	54.307144	59.7114	61.118033
motorcycle	38.0593	195.270338	38.0144	191.572120	39.2971	188.956334	38.8063	165.892543	32.8208	236.205298
pedestrian	65.1805	166.992877	65.2812	157.727596	66.4479	158.884025	63.1000	163.314089	68.2839	165.318409
truck	0.3856	1.558600	0.3845	1.552663	0.3869	1.563682	0.3802	1.536887	0.3914	1.581798

[1] “ub”

bogota ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9274	13.109280	0.9297	12.82911	0.9463	12.367584	0.8819	14.842484	0.9541	12.612433
car	3.1302	32.318499	3.1412	31.58047	2.9617	36.032632	3.2248	28.093569	3.2402	31.081491
cycle	72.9014	80.845290	58.7696	119.65515	74.3162	76.012199	72.0008	69.740655	76.5763	78.380194
motorcycle	48.1141	246.858174	48.1830	242.81598	49.5940	238.468150	49.0889	209.849222	41.7749	300.646211
pedestrian	81.3437	208.403248	81.6718	197.32943	82.8628	198.133764	78.7276	203.761102	85.2352	206.358363
truck	1.1915	4.815833	1.1870	4.79364	1.1967	4.836738	1.1691	4.725156	1.2156	4.912867

[1] “lb”

bogota lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.2970	4.1986840	0.2977	4.1080556	0.3023	3.9509203	0.2833	4.7670812	0.3036	4.012876
car	1.2987	13.4090654	1.3020	13.0900062	1.2366	15.0444961	1.3387	11.6622879	1.3447	12.899233
cycle	44.6039	49.4643663	35.4474	72.1709873	45.5064	46.5449711	43.9813	42.6007160	46.8819	47.986262
motorcycle	30.3781	155.8604047	30.2796	152.5925938	31.4125	151.0442107	30.9544	132.3264916	26.0475	187.458930
pedestrian	52.5050	134.5181879	52.4874	126.8162946	53.5619	128.0720895	50.8448	131.5954985	54.9790	133.106772
truck	0.1305	0.5275558	0.1302	0.5259449	0.1308	0.5287904	0.1292	0.5223553	0.1319	0.533092

[1] NA

buenos_aires mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.4532	3.385700	0.4558	3.278905	0.4607	3.104124	0.4296	4.131322	0.4592	3.153495
car	10.5489	85.488915	10.5762	82.985725	9.9872	102.740472	11.0266	69.196428	11.5141	85.819325
cycle	27.1916	15.235648	23.3011	34.766165	28.2016	14.501969	26.2705	13.109952	32.2005	17.016009
motorcycle	112.9509	207.374100	111.8118	201.387606	120.1396	199.817431	118.1233	157.683870	96.7101	402.456587
pedestrian	114.8069	251.388194	113.9753	237.238050	119.8424	245.152800	105.8000	244.617122	141.2625	293.231264
truck	0.9524	2.539275	0.9524	2.539275	0.9524	2.539275	0.9524	2.539275	0.9524	2.539275

[1] “ub”

buenos_aires ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.3809	10.315435	1.3886	9.990058	1.4037	9.457539	1.3090	12.587173	1.3992	9.607962
car	14.4692	117.258836	14.5517	114.179427	13.6481	140.401251	15.1206	94.888022	16.0531	119.650511
cycle	58.0586	32.530664	49.8697	74.407496	59.9699	30.838078	56.4928	28.192048	67.5525	35.697401
motorcycle	146.1281	268.286210	146.5555	263.965514	154.7661	257.408735	152.9449	204.167491	125.2667	521.294254
pedestrian	145.9028	319.477708	146.8401	305.645609	151.6376	310.193953	134.5269	311.035603	179.8343	373.298192
truck	3.4474	9.191765	3.4474	9.191765	3.4474	9.191765	3.4474	9.191765	3.4474	9.191765

[1] “lb”

buenos_aires lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.1488	1.1112437	0.1496	1.0761920	0.1512	1.0188257	0.1410	1.3559696	0.1507	1.0350302
car	7.8188	63.3638218	7.8326	61.4577982	7.4248	76.3807083	8.1737	51.2930783	8.4118	62.6963277
cycle	13.3000	7.4521081	11.3757	16.9730261	13.8409	7.1173454	12.7800	6.3776869	15.9487	8.4279017
motorcycle	88.4349	162.3634361	87.0273	156.7474939	94.3548	156.9319371	92.3830	123.3228790	75.6260	314.7154605
pedestrian	91.5584	200.4818625	90.3537	188.0700397	95.8949	196.1653188	84.3784	195.0887267	112.1375	232.7738931
truck	0.2631	0.7014883	0.2631	0.7014883	0.2631	0.7014883	0.2631	0.7014883	0.2631	0.7014883

[1] NA

cali mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.1522	0.2783215	0.1526	0.2739747	0.1539	0.2600644	0.1410	0.3783842	0.1545	0.2566094
car	5.3053	11.1328585	5.2921	10.8475721	4.8102	12.7977271	5.3636	10.0156893	5.4358	10.4923566
cycle	107.2446	28.9454320	96.5738	52.2167012	110.0230	26.7896305	103.8580	25.0053467	110.4137	27.8381844
motorcycle	33.7982	153.3551254	33.8459	148.8021154	35.6708	150.7946093	34.7859	137.4659883	32.4125	161.4660941
other	64.6108	0.2783215	64.9294	0.2601007	63.7950	0.2182577	59.5482	0.1924974	67.3100	0.2645591
pedestrian	205.1346	87.9495819	203.5523	82.8320213	208.5912	83.8934621	194.5955	84.3205144	210.5311	84.6449065

[1] “ub”

cali ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.1245	2.056513	1.1274	2.024395	1.1368	1.921612	1.0416	2.795875	1.1418	1.896083
car	8.2900	17.396195	8.2718	16.955106	7.4909	19.930018	8.3660	15.622335	8.5141	16.434299
cycle	143.2626	38.666758	129.1313	69.820315	146.7649	35.735966	139.3100	33.540941	147.1317	37.095749
motorcycle	39.9463	181.251265	40.2174	176.813818	42.0018	177.558265	41.1346	162.554948	38.2761	190.676275
other	481.0504	2.072202	483.8483	1.938248	474.7772	1.624324	443.4038	1.433362	500.9523	1.968973
pedestrian	247.0599	105.924644	246.4527	100.289604	250.8064	100.872022	235.0187	101.836343	252.8567	101.662094

[1] “lb”

cali lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.0206	0.0376671	0.0206	0.0370788	0.0208	0.0351962	0.0191	0.0512092	0.0209	0.0347286
car	3.4539	7.2478923	3.4458	7.0630735	3.1401	8.3543535	3.4968	6.5298246	3.5308	6.8153264
cycle	82.6184	22.2988070	74.3514	40.2012183	84.7807	20.6433427	79.7011	19.1892263	85.2073	21.4829992
motorcycle	28.9547	131.3781462	28.9005	127.0599093	30.6147	129.4202529	29.7400	117.5257808	27.7828	138.4024770
other	8.6868	0.0374199	8.7226	0.0349417	8.5792	0.0293514	8.0041	0.0258744	9.0525	0.0355805
pedestrian	172.1741	73.8180712	170.2764	69.2909893	175.1197	70.4315232	162.7441	70.5189102	177.0682	71.1910118

[1] NA

copiapo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	7.2678	0.6872449	7.3137	0.6648022	7.4767	0.5909760	6.9046	0.9113077	7.3934	0.6276014
car	21.1804	5.0397959	21.2285	4.8702823	19.0305	5.2371287	21.9407	4.4590856	21.9481	4.7296500
cycle	334.4041	1.1454082	249.9545	5.7615960	339.3095	1.0804167	332.4520	1.1022943	396.9461	1.3139593
motorcycle	369.2802	2.5198980	368.1097	2.3308439	378.9322	2.2751969	367.7058	2.4664082	265.7480	13.5711721
pedestrian	120.8525	2.5198980	118.8727	2.3537704	121.1570	2.4185891	117.2035	2.7296321	143.2505	2.8950551
truck	9.8249	0.9163265	9.7394	0.9083453	9.8115	0.9150758	9.7752	0.9116871	10.4353	0.9732552

[1] “ub”

copiapo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	23.0611	2.180678	23.2070	2.109466	23.7241	1.875210	21.9088	2.891646	23.4598	1.991425
car	39.9198	9.498753	39.8552	9.143670	35.4805	9.764101	42.0337	8.542655	47.8096	10.302586
cycle	1073.7241	3.677742	800.1693	18.444365	1073.0683	3.416824	1085.1485	3.597972	1707.3621	5.651660
motorcycle	973.9935	6.646346	971.4380	6.151075	994.1491	5.969102	982.8412	6.592466	701.7757	35.838165
pedestrian	313.9392	6.545953	307.7177	6.093046	309.0224	6.168842	310.6841	7.235734	521.5227	10.539839
truck	44.1560	4.118219	43.3946	4.047205	43.8067	4.085641	43.9998	4.103650	55.5674	5.182504

[1] “lb”

copiapo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.2904	0.2165866	2.3049	0.2095137	2.3563	0.1862472	2.1760	0.2872004	2.3300	0.1977898
car	13.1794	3.1359858	13.2179	3.0324756	11.8661	3.2655080	13.6016	2.7643056	13.4001	2.8876043
cycle	112.0794	0.3838968	83.8425	1.9326183	114.8375	0.3656613	109.6012	0.3633991	115.3605	0.3818630
motorcycle	141.5830	0.9661356	141.0314	0.8930006	145.9740	0.8764620	139.2691	0.9341558	101.7151	5.1943686
pedestrian	51.2483	1.0685802	50.4445	0.9988404	51.9663	1.0373746	48.7043	1.1343083	52.1282	1.0534972
truck	2.6245	0.2447742	2.6143	0.2438199	2.6254	0.2448602	2.6146	0.2438479	2.6500	0.2471499

[1] NA

coquimbo_laserena mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.2192	1.3744898	3.2072	1.3344701	3.3279	1.2456265	2.9834	1.6098838	3.1974	1.2648078
car	19.7195	13.9739796	19.7848	13.5079552	18.0871	14.6616340	20.6919	12.4696939	20.0680	12.8100186
cycle	117.9160	1.3744898	91.5610	6.2272429	124.0998	1.2699582	111.3805	1.2301981	112.5780	1.2454277
motorcycle	325.2547	5.7270408	321.6655	5.5311996	336.4880	5.3677313	322.2712	4.9106912	231.7746	35.1551289
pedestrian	92.8770	9.6214286	91.6665	8.9297239	96.3634	9.3891400	85.6900	9.4550220	88.2508	8.7283094
truck	3.5181	0.9163265	3.5181	0.9163265	3.5181	0.9163265	3.5181	0.9163265	3.5181	0.9163265

[1] “ub”

coquimbo_laserena ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	10.3978	4.439558	10.3370	4.301127	10.7894	4.038466	9.5556	5.156306	10.2691	4.062173
car	30.0665	21.306214	30.1475	20.583026	27.5144	22.303524	31.6818	19.092578	30.5196	19.481557
cycle	287.0723	3.346263	223.0724	15.171594	301.2202	3.082495	272.9682	3.014935	274.4148	3.035794
motorcycle	612.7651	10.789487	606.7604	10.433550	631.6685	10.076516	611.8784	9.323657	437.8010	66.404824
pedestrian	146.9932	15.227507	145.2784	14.152346	151.6871	14.779583	137.2477	15.143879	140.0083	13.847303
truck	9.5631	2.490834	9.5631	2.490834	9.5631	2.490834	9.5631	2.490834	9.5631	2.490834

[1] “lb”

coquimbo_laserena lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0422	0.4449853	1.0403	0.4328514	1.0738	0.4019214	0.9730	0.5250614	1.0403	0.4115219
car	13.2420	9.3837495	13.2919	9.0749359	12.1659	9.8618657	13.8528	8.3481588	13.5022	8.6188441
cycle	48.7436	0.5681807	37.8225	2.5723842	51.4365	0.5263679	45.7692	0.5055214	46.4796	0.5141945
motorcycle	174.6536	3.0752773	172.5015	2.9662497	181.2960	2.8920747	171.7673	2.6173492	124.1066	18.8242474
pedestrian	59.8233	6.1972966	58.9670	5.7442922	62.3472	6.0747789	54.6423	6.0292156	56.7074	5.6085599
truck	1.2942	0.3370977	1.2942	0.3370977	1.2942	0.3370977	1.2942	0.3370977	1.2942	0.3370977

[1] NA

gran_valparaiso mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.5439	0.4581633	0.5491	0.4438406	0.5770	0.4253276	0.4905	0.5076025	0.5470	0.4256562
car	13.6691	14.6612245	13.9455	14.4150985	12.5085	15.8223745	14.7149	12.9965649	14.1245	13.8730445
cycle	27.2171	0.4581633	19.2340	2.2115398	28.7782	0.4417639	26.5887	0.3815613	26.8634	0.4168820
motorcycle	218.1498	5.9561225	218.7288	5.8279942	230.4830	5.1801596	224.3482	4.6460154	154.1527	35.6284625
other	62.5242	0.2290816	62.7628	0.2240654	66.1983	0.2177112	59.0431	0.2097183	61.7464	0.2069330
pedestrian	125.1156	18.5556123	125.9228	17.7083593	131.1648	18.2633727	116.5597	18.7495175	122.9241	17.5234414
truck	6.6928	2.7489796	6.6928	2.7489796	6.6928	2.7489796	6.6928	2.7489796	6.6928	2.7489796

[1] “ub”

gran_valparaiso ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	4.1036	3.456539	4.2273	3.416917	4.3429	3.201511	3.6972	3.826161	4.2495	3.306722
car	21.3144	22.861440	23.5746	24.368455	19.3444	24.469299	22.8109	20.147132	24.6503	24.211554
cycle	117.1652	1.972319	82.8303	9.523874	123.2925	1.892620	114.5239	1.643476	123.3162	1.913695
motorcycle	403.5347	11.017671	426.0494	11.352016	424.0751	9.531188	416.2167	8.619409	285.4040	65.963864
other	481.0624	1.762558	498.1153	1.778290	507.1656	1.667953	454.2036	1.613311	497.2693	1.666518
pedestrian	198.9812	29.510451	219.8257	30.913814	205.0121	28.545873	186.3633	29.977951	224.0116	31.933964
truck	11.9219	4.896791	11.9219	4.896791	11.9219	4.896791	11.9219	4.896791	11.9219	4.896791

[1] “lb”

gran_valparaiso lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.0726	0.0611851	0.0727	0.0587291	0.0771	0.0568706	0.0655	0.0678059	0.0721	0.0560887
car	9.3224	9.9990466	9.3516	9.6665549	8.5665	10.8360907	10.0183	8.8484288	9.4089	9.2413907
cycle	6.3940	0.1076348	4.5173	0.5194030	6.7814	0.1040996	6.2358	0.0894872	6.1527	0.0954820
motorcycle	120.1780	3.2812078	118.9150	3.1684699	127.4776	2.8650891	123.0837	2.5489331	84.7977	19.5988238
other	8.2171	0.0301064	8.1284	0.0290185	8.7239	0.0286911	7.7530	0.0275383	7.9397	0.0266086
pedestrian	87.2861	12.9451985	85.9282	12.0839806	92.3448	12.8580820	80.6189	12.9681588	82.9265	11.8215794
truck	3.7572	1.5432329	3.7572	1.5432329	3.7572	1.5432329	3.7572	1.5432329	3.7572	1.5432329

[1] NA

iquique_altohospicio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.5457	0.6872449	4.3978	0.8230503	3.7296	0.6140811	3.1892	0.7983470	3.9596	0.6954945
car	17.4328	7.3306122	18.9455	7.6688435	15.8687	7.6421817	17.9768	6.5568924	18.5949	7.0726876
cycle	275.9259	0.6872449	183.9304	6.6573185	291.5328	0.6164278	268.5499	0.6381383	300.3155	0.7269396
motorcycle	228.2547	2.5198980	253.6542	2.6640846	233.5884	2.2931184	228.0797	2.3618763	165.8490	14.3653173
pedestrian	113.0861	4.3525510	137.5627	5.0147411	114.9762	4.2098070	107.7143	4.5715689	122.9896	4.5738987
truck	7.1202	1.1454082	7.1202	1.1454082	7.1202	1.1454082	7.1202	1.1454082	7.1202	1.1454082

[1] “ub”

iquique_altohospicio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	13.8960	2.693369	22.6524	4.239425	14.4389	2.377395	12.5654	3.145478	18.7103	3.286424
car	32.1934	13.537592	44.3012	17.932401	29.0246	13.977867	33.3327	12.157851	39.6648	15.086718
cycle	1058.6345	2.636727	705.7773	25.545449	1108.8747	2.344645	1040.1468	2.471636	1380.1409	3.340751
motorcycle	600.9154	6.634016	818.6846	8.598499	611.9652	6.007613	602.6207	6.240431	435.5150	37.722930
pedestrian	270.9776	10.429606	465.9917	16.987365	270.1298	9.890696	261.7719	11.110021	373.9915	13.908488
truck	17.4155	2.801593	17.4155	2.801593	17.4155	2.801593	17.4155	2.801593	17.4155	2.801593

[1] “lb”

iquique_altohospicio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9704	0.1880933	1.0470	0.1959449	1.0261	0.1689484	0.8692	0.2175854	0.9905	0.1739839
car	10.6482	4.4776331	10.8647	4.3978572	9.7242	4.6830450	10.9398	3.9902057	10.9623	4.1695675
cycle	74.9646	0.1867134	49.9403	1.8075782	79.6421	0.1683982	72.2776	0.1717487	75.1437	0.1818919
motorcycle	90.5533	0.9996945	93.7642	0.9847882	92.8374	0.9113776	90.2835	0.9349294	65.9520	5.7125513
pedestrian	53.4660	2.0578424	56.1259	2.0460268	54.9172	2.0107706	50.1736	2.1294470	52.9182	1.9679907
truck	2.9110	0.4682906	2.9110	0.4682906	2.9110	0.4682906	2.9110	0.4682906	2.9110	0.4682906

[1] NA

medellin mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
auto_rickshaw	318.8052	0.1855476	318.0564	0.1851119	338.3955	0.1590745	338.9168	0.1441463	334.5887	0.1872441
bus	1.7272	2.7832146	1.7379	2.7040648	1.7604	2.6328782	1.6077	3.5300549	1.7584	2.6120820
car	3.2225	4.4531434	3.2408	4.3449985	2.8261	5.8165461	3.3066	3.8862059	3.2918	4.2189101
cycle	157.9430	10.0195726	123.2829	39.2508551	166.7776	9.3530707	159.5476	8.3018445	164.0225	9.6473120
motorcycle	36.0051	125.9868484	36.1376	124.5623773	38.8368	126.4616826	37.1203	115.2066599	34.7006	140.4775649
pedestrian	130.4729	75.5178900	131.4915	71.5654896	137.4827	75.2126947	126.4168	76.0742285	135.7481	74.2695089
truck	2.0845	1.1132858	2.0825	1.1122384	2.1223	1.1334723	2.0628	1.1017433	2.1111	1.1275163

[1] “ub”

medellin ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
auto_rickshaw	2370.1281	1.379437	2371.6230	1.380307	2515.3492	1.182427	2519.6502	1.071644	2486.9907	1.391781
bus	3.5621	5.739837	3.5903	5.586231	3.6625	5.477632	3.2765	7.194188	3.6509	5.423492
car	5.6785	7.847041	5.7246	7.675190	4.9601	10.208525	5.8307	6.852756	5.8331	7.475884
cycle	235.4084	14.933822	183.8446	58.532504	248.2370	13.921403	238.0902	12.388706	244.1629	14.360927
motorcycle	41.5949	145.546556	42.3449	145.958325	44.8391	146.006431	42.8904	133.114522	40.0666	162.200617
pedestrian	155.0423	89.738667	158.7129	86.380949	163.2117	89.288298	150.3509	90.477109	161.0695	88.123135
truck	6.6597	3.556854	6.6660	3.560253	6.8158	3.640223	6.5702	3.509047	6.7690	3.615264

[1] “lb”

medellin lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
auto_rickshaw	42.8967	0.0249663	42.6896	0.0248457	45.5392	0.0214073	45.6018	0.0193951	45.0282	0.0251989
bus	0.9152	1.4746748	0.9204	1.4321018	0.9283	1.3883672	0.8573	1.8822730	0.9282	1.3788881
car	1.9125	2.6427847	1.9216	2.5763249	1.6818	3.4614518	1.9614	2.3051926	1.9459	2.4939452
cycle	106.4804	6.7548952	83.0728	26.4487385	112.5839	6.3138276	107.4302	5.5899894	110.7130	6.5118053
motorcycle	31.3458	109.6833831	31.2513	107.7198097	33.8152	110.1100658	32.2958	100.2332278	30.2251	122.3594129
pedestrian	110.4132	63.9072762	110.4238	60.0991553	116.4114	63.6851925	106.8519	64.3006069	115.0123	62.9246511
truck	0.6788	0.3625632	0.6777	0.3619593	0.6880	0.3674488	0.6736	0.3597705	0.6853	0.3660278

[1] NA

mexico_city mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0556	11.024186	1.0623	10.759209	1.0718	10.273852	1.0135	12.774635	1.1084	10.874096
car	22.2538	288.203709	22.4518	283.963201	20.9830	317.401200	23.0155	250.214597	26.0449	318.247871
cycle	144.3242	32.285115	110.6401	134.086879	147.4015	29.879874	141.6482	28.321826	194.6871	40.692656
motorcycle	100.0264	102.367438	101.8365	101.980491	103.5846	96.907410	102.0076	86.813391	83.3817	277.856186
other	1309.0937	48.821393	1328.9292	47.646981	1340.3896	47.102985	1298.9757	41.743806	1806.0567	64.929521
pedestrian	249.2597	502.387887	253.9488	485.801255	253.2624	478.814005	236.9612	502.119143	351.2223	675.649325
truck	2.1323	9.449302	2.1323	9.449302	2.1323	9.449302	2.1323	9.449302	2.1323	9.449302

[1] “ub”

mexico_city ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.5833	26.98013	2.6169	26.50379	2.6420	25.32571	2.4173	30.46852	3.0272	29.69806
car	26.5713	344.11750	27.0553	342.18689	25.0098	378.31253	27.4832	298.78536	31.5190	385.13628
cycle	239.8929	53.66369	184.1642	223.19215	244.7585	49.61516	236.2813	47.24322	316.3894	66.13035
motorcycle	136.1931	139.38066	141.2002	141.39985	140.7154	131.64478	138.9579	118.25985	113.6651	378.77074
other	1980.6465	73.86631	2040.9184	73.17441	2024.8808	71.15687	1971.9005	63.36888	2672.3869	96.07495
pedestrian	296.1388	596.87380	308.9644	591.04546	300.2884	567.72051	281.7322	596.98840	416.5894	801.39651
truck	4.1148	18.23497	4.1148	18.23497	4.1148	18.23497	4.1148	18.23497	4.1148	18.23497

[1] “lb”

mexico_city lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.5289	5.523522	0.5315	5.383122	0.5359	5.137579	0.5112	6.443834	0.5383	5.280585
car	18.7649	243.018992	18.8393	238.273346	17.7202	268.046455	19.4042	210.953522	21.6700	264.790389
cycle	89.5350	20.028850	68.5616	83.091129	91.5192	18.551915	87.6422	17.523596	122.7205	25.650508
motorcycle	74.1359	75.871000	74.5909	74.696313	76.9131	71.955259	75.5629	64.307657	61.7233	205.683168
other	905.6220	33.774304	909.4338	32.606537	928.2830	32.621036	897.0550	28.827706	1262.6331	45.392906
pedestrian	211.6196	426.523634	212.6701	406.835638	215.3404	407.119269	201.0731	426.072382	297.8640	573.003366
truck	1.1049	4.896599	1.1049	4.896599	1.1049	4.896599	1.1049	4.896599	1.1049	4.896599

[1] NA

montevideo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.2237	0.3384842	0.2252	0.328266	0.2284	0.3029923	0.2143	0.3959394	0.2264	0.3141271
car	9.1263	13.8778514	9.0975	13.400615	8.7305	15.8650608	9.4706	11.7081415	9.6152	13.1622717
cycle	91.2523	4.4002943	69.8104	14.498265	96.3078	4.2353078	88.7152	3.8700318	94.0084	4.1785199
motorcycle	93.4411	46.0338484	92.3917	43.734539	98.9890	45.0757077	93.7566	36.2424835	84.3950	68.5407893
pedestrian	55.1009	18.6166299	54.3835	17.210262	58.5718	18.0930074	50.7222	18.2601845	56.0113	18.0942501
truck	1.9285	1.0154525	1.9285	1.015453	1.9285	1.0154525	1.9285	1.0154525	1.9285	1.0154525

[1] “ub”

montevideo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.6531	2.501054	1.6637	2.425552	1.6876	2.238806	1.5833	2.925590	1.6726	2.321080
car	15.3861	23.396881	15.2830	22.511815	14.6592	26.638539	15.9310	19.695001	16.3265	22.349433
cycle	213.0712	10.274544	163.0763	33.867796	222.7277	9.794847	208.6821	9.103354	220.7106	9.810228
motorcycle	133.2437	65.642657	131.4000	62.199520	139.9027	63.706217	134.6016	52.031468	120.3512	97.742287
pedestrian	85.9476	29.038661	84.5664	26.761966	90.2384	27.874932	79.4089	28.587512	88.6970	28.653227
truck	6.1191	3.222105	6.1191	3.222105	6.1191	3.222105	6.1191	3.222105	6.1191	3.222105

[1] “lb”

montevideo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.0303	0.0458093	0.0305	0.0444264	0.0309	0.0410059	0.0290	0.0535851	0.0306	0.0425129
car	5.5724	8.4737243	5.5664	8.1993059	5.3470	9.7164398	5.7917	7.1600401	5.8260	7.9752118
cycle	41.0141	1.9777489	31.3562	6.5120769	43.6558	1.9198435	39.6285	1.7287173	41.9380	1.8640781
motorcycle	67.4795	33.2438391	66.7762	31.6092130	71.9369	32.7572543	67.2986	26.0148759	60.8854	49.4476381
pedestrian	36.6393	12.3791268	36.2130	11.4599900	39.3104	12.1431003	33.6315	12.1074760	36.6812	11.8497250
truck	0.6078	0.3200218	0.6078	0.3200218	0.6078	0.3200218	0.6078	0.3200218	0.6078	0.3200218

[1] NA

osorno mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	38.1978	7.7887755	38.2908	7.5120395	34.1675	8.2134335	39.4510	6.9777388	38.4737	7.1720948
cycle	33.2999	0.2290816	27.7749	0.7472002	34.5056	0.2104352	32.7100	0.1985371	31.7941	0.2084666
motorcycle	177.2760	1.1454082	176.3839	1.0636982	181.1218	1.0859062	173.6663	1.0726431	128.5563	6.1989133
pedestrian	160.4439	5.7270408	157.9247	5.3323737	165.4198	5.5696418	152.2341	5.8995839	152.8137	5.2326046
truck	19.3547	1.6035714	19.3547	1.6035714	19.3547	1.6035714	19.3547	1.6035714	19.3547	1.6035714

[1] “ub”

osorno ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	67.2232	13.707238	67.2908	13.201398	60.0334	14.431263	69.7385	12.334720	67.4966	12.582430
cycle	264.6690	1.820749	220.8565	5.941471	273.8321	1.669989	260.9566	1.583908	252.9791	1.658726
motorcycle	672.8893	4.347643	670.3205	4.042425	686.0107	4.112941	662.3260	4.090830	489.3483	23.596100
pedestrian	312.8477	11.167093	308.3643	10.412012	320.9663	10.806851	300.3399	11.639180	298.9700	10.237249
truck	41.2176	3.414948	41.2176	3.414948	41.2176	3.414948	41.2176	3.414948	41.2176	3.414948

[1] “lb”

osorno lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	22.6892	4.6264777	22.7715	4.4674020	20.3324	4.8876382	23.3362	4.1275012	22.9141	4.2715407
cycle	4.2017	0.0289052	3.5031	0.0942390	4.3607	0.0265943	4.1118	0.0249568	4.0075	0.0262761
motorcycle	47.1361	0.3045538	46.8394	0.2824690	48.2749	0.2894296	45.9357	0.2837200	34.0816	1.6433941
pedestrian	84.3625	3.0113167	82.9304	2.8001695	87.4354	2.9439257	79.1003	3.0654017	80.1049	2.7429297
truck	9.0885	0.7529958	9.0885	0.7529958	9.0885	0.7529958	9.0885	0.7529958	9.0885	0.7529958

[1] NA

puerto_montt mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.4565	0.4581633	1.4475	0.4442485	1.5107	0.4219770	1.3694	0.5026761	1.4431	0.4196498
car	14.9606	6.8724490	15.0018	6.6648685	13.6887	7.1611442	15.4986	6.2991096	14.9859	6.4548372
cycle	188.4476	0.4581633	118.3641	4.2591074	198.3315	0.4041241	180.9850	0.4316385	180.3790	0.4385465
motorcycle	222.9540	0.9163265	224.2687	0.8563746	230.5435	0.8553068	216.8984	0.8277679	142.3851	10.2298904
pedestrian	252.5346	13.5158163	250.0361	12.5524148	260.2180	12.9463182	238.5781	13.9282516	243.2339	12.4927183
truck	8.9691	1.6035714	8.9691	1.6035714	8.9691	1.6035714	8.9691	1.6035714	8.9691	1.6035714

[1] “ub”

puerto_montt ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	10.9263	3.437099	10.8595	3.332972	11.3307	3.165030	10.2733	3.771105	10.8259	3.148228
car	26.4369	12.144300	26.4935	11.770354	24.1154	12.615772	27.4632	11.161858	26.4131	11.376860
cycle	818.3026	1.989499	514.2398	18.503948	859.4248	1.751181	788.2856	1.880015	783.6683	1.905294
motorcycle	978.4226	4.021254	987.9253	3.772413	1007.0280	3.736032	961.0419	3.667705	629.7956	45.248711
pedestrian	424.8553	22.738532	421.7567	21.173203	434.7024	21.627234	405.9350	23.698596	410.8772	21.103038
truck	19.1005	3.414948	19.1005	3.414948	19.1005	3.414948	19.1005	3.414948	19.1005	3.414948

[1] “lb”

puerto_montt lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.1943	0.0611272	0.1931	0.0592665	0.2016	0.0563089	0.1827	0.0670651	0.1925	0.0559880
car	8.7429	4.0162002	8.7714	3.8969026	8.0202	4.1957256	9.0351	3.6721162	8.7764	3.7802509
cycle	43.5135	0.1057922	27.3173	0.9829620	45.8885	0.0935034	41.6658	0.0993705	41.6294	0.1012114
motorcycle	57.0833	0.2346085	57.2544	0.2186270	59.2807	0.2199290	55.0730	0.2101799	36.2460	2.6041555
pedestrian	160.9899	8.6162851	159.1229	7.9883504	166.9099	8.3040704	150.6482	8.7948814	154.7251	7.9468237
truck	4.2117	0.7529958	4.2117	0.7529958	4.2117	0.7529958	4.2117	0.7529958	4.2117	0.7529958

[1] NA

san_antonio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	32.6660	3.3699398	32.7077	3.2294413	26.1111	3.2046539	36.3401	3.1330080	38.4527	3.4491619
cycle	363.9221	0.2689038	209.8888	2.2009813	346.8691	0.2316371	383.8691	0.2551047	415.0192	0.3053182
motorcycle	58.9966	0.2202140	58.8647	0.2054472	60.9980	0.1717164	64.6490	0.2086202	44.5332	1.1978922
other	217.2067	0.2633219	211.7245	0.2552725	166.2736	0.0913646	212.6170	0.2232303	287.4175	0.2922394
pedestrian	310.7077	2.8519751	308.2362	2.6995008	286.2292	2.4906014	315.4513	3.3184558	350.9180	3.1233840
truck	33.6793	1.3388402	33.6793	1.3388402	33.6793	1.3388402	33.6793	1.3388402	33.6793	1.3388402

[1] “ub”

san_antonio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	195.5047	20.168944	195.1727	19.270674	153.4353	18.831349	216.5294	18.667744	266.1895	23.876874
cycle	5275.1286	3.897817	3024.1368	31.712363	4868.8622	3.251397	5503.8425	3.657643	6738.0250	4.956979
motorcycle	703.6993	2.626666	704.3763	2.458386	714.2446	2.010682	767.9003	2.477989	573.7228	15.432502
other	2699.8693	3.273080	2633.4009	3.175044	2508.5420	1.378402	2559.6661	2.687439	3877.7025	3.942757
pedestrian	2075.6800	19.052597	2057.0474	18.015410	1889.4261	16.440697	2095.6129	22.045235	2691.0645	23.952114
truck	169.0515	6.720243	169.0515	6.720243	169.0515	6.720243	169.0515	6.720243	169.0515	6.720243

[1] “lb”

san_antonio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	6.0749	0.6267093	6.0941	0.6017104	4.9203	0.6038787	6.7684	0.5835239	6.5780	0.5900379
cycle	27.0231	0.0199675	15.4387	0.1618964	26.5223	0.0177114	28.8308	0.0191599	28.5122	0.0209756
motorcycle	5.1041	0.0190520	5.0759	0.0177156	5.3770	0.0151368	5.6123	0.0181108	3.6096	0.0970937
other	19.4630	0.0235952	18.9605	0.0228604	12.0047	0.0065964	19.7568	0.0207430	24.3259	0.0247340
pedestrian	54.2937	0.4983599	53.9163	0.4721936	50.6973	0.4411390	55.2099	0.5807923	55.9006	0.4975492
truck	7.0636	0.2807968	7.0636	0.2807968	7.0636	0.2807968	7.0636	0.2807968	7.0636	0.2807968

[1] NA

santiago mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.6057	5.233301	1.6027	5.122458	1.6676	5.015210	1.5263	5.775803	1.6254	5.000338
car	23.0340	71.218394	23.1465	69.065013	21.7016	80.910158	24.2942	63.220644	23.4423	68.339987
cycle	168.9855	28.214316	140.4181	61.657848	179.7733	26.410867	169.4210	24.872559	169.9037	26.581563
motorcycle	110.3350	43.004078	109.0947	41.859537	114.4590	42.202625	111.4669	36.889022	94.5418	98.770314
other	219.9363	2.502883	216.8280	2.358486	234.7643	2.461061	219.4801	2.282939	220.6994	2.346609
pedestrian	255.7173	121.276050	253.6491	113.848075	269.9665	119.535488	247.6478	125.552760	255.9464	115.865602
truck	6.4803	7.508648	6.4211	7.439980	6.6377	7.690997	6.4069	7.423588	6.4598	7.484892

[1] “ub”

santiago ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.1178	10.161536	3.1152	9.956565	3.2599	9.803921	2.9413	11.130437	3.1651	9.737087
car	28.0211	86.637652	28.2825	84.389940	26.3543	98.256641	29.5608	76.925866	28.6822	83.615747
cycle	229.6640	38.345380	190.9554	83.848904	243.3649	35.753240	230.4247	33.828464	233.1277	36.473018
motorcycle	143.1044	55.776255	142.3968	54.637544	148.1081	54.609526	144.6057	47.856031	122.6475	128.133180
other	443.8279	5.050778	440.2682	4.788893	472.7875	4.956285	442.6803	4.604573	447.6152	4.759314
pedestrian	310.7420	147.372020	311.3349	139.739837	326.4464	144.543623	300.8609	152.530828	314.9679	142.584308
truck	11.3979	13.206563	11.3284	13.126037	11.6775	13.530564	11.2573	13.043653	11.3949	13.203136

[1] “lb”

santiago lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.8537	2.782505	0.8529	2.725999	0.8813	2.650365	0.8166	3.090113	0.8626	2.653648
car	19.1658	59.258114	19.2539	57.450344	18.0777	67.399017	20.1959	52.555494	19.4244	56.626977
cycle	126.7758	21.166858	105.2789	46.228180	135.2718	19.873065	127.0196	18.647646	126.4380	19.781328
motorcycle	85.9086	33.483668	84.8535	32.558206	89.2422	32.904864	86.7385	28.705386	73.5779	76.868782
other	109.8727	1.250356	108.1909	1.176816	117.4083	1.230805	109.6678	1.140718	109.7391	1.166812
pedestrian	215.2789	102.097826	213.2004	95.693047	227.9283	100.921848	208.3946	105.652140	213.3359	96.576023
truck	3.7125	4.301582	3.6783	4.262030	3.7996	4.402562	3.6732	4.256093	3.6921	4.277990

[1] NA

sao_paulo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0577	9.678019	1.0562	9.326609	1.1182	9.043648	0.9512	10.810567	1.1841	10.003966
car	13.8070	164.732230	13.8562	159.161556	13.1875	190.592273	14.3538	139.999663	15.0946	166.867067
cycle	257.3022	37.682498	174.3718	220.908576	270.6912	34.583294	250.3859	32.903777	290.8226	40.689663
motorcycle	261.6329	424.391408	260.0760	411.128447	272.9788	402.632946	263.8237	342.316918	228.9950	958.063133
other	22.7871	1.441407	22.6401	1.317858	23.8720	1.424238	22.1144	1.139318	27.2847	1.448498
pedestrian	207.6521	391.444962	205.4306	369.063524	218.7653	381.735195	193.3567	388.950885	243.9325	437.374193
truck	3.2599	14.619985	3.2380	14.521937	3.3099	14.844372	3.1935	14.322331	3.4595	15.515091

[1] “ub”

sao_paulo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.6022	14.660391	1.6044	14.16740	1.6951	13.708747	1.4384	16.34819	1.7991	15.200019
car	15.2775	182.277330	15.3797	176.66122	14.5759	210.659170	15.8832	154.91671	16.7918	185.628982
cycle	318.4593	46.639103	215.9225	273.54839	334.5818	42.745911	310.2211	40.76685	359.4992	50.298367
motorcycle	282.0965	457.585066	282.0878	445.92475	294.1149	433.807957	284.5487	369.20806	246.8788	1032.884543
other	48.7177	3.081656	48.5713	2.82728	51.0210	3.043979	47.2752	2.43558	58.3539	3.097907
pedestrian	225.7008	425.468491	225.2242	404.62334	237.2799	414.042357	210.2135	422.85966	266.3033	477.485416
truck	4.5507	20.408830	4.5261	20.29890	4.6268	20.750308	4.4481	19.94906	4.8597	21.794953

[1] “lb”

sao_paulo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.6990	6.3960504	0.6970	6.1549096	0.7385	5.9723478	0.6297	7.1563511	0.7802	6.5911230
car	12.5027	149.1702567	12.5315	143.9452230	11.9537	172.7616452	12.9960	126.7560297	13.5978	150.3196940
cycle	208.3766	30.5172346	141.1457	178.8149764	219.5037	28.0436178	202.5603	26.6189098	235.7423	32.9832506
motorcycle	242.9939	394.1572610	240.9113	380.8329008	253.6779	374.1648700	244.9160	317.7837849	212.6884	889.8400490
other	10.6633	0.6745095	10.5701	0.6152731	11.1739	0.6666518	10.3491	0.5331773	12.7622	0.6775218
pedestrian	191.7560	361.4792387	188.9543	339.4631191	202.3896	353.1604207	178.4982	359.0619628	224.1367	401.8800750
truck	2.3467	10.5244984	2.3303	10.4508512	2.3795	10.6716874	2.3036	10.3314249	2.4755	11.1022635

[1] NA

temuco_padrelascasas mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	16.7323	8.0178571	16.7461	7.7451656	15.2695	8.6564787	17.4328	6.7418799	16.7966	7.4128984
cycle	78.3794	2.0617347	49.0949	3.6126240	82.4504	1.9172749	74.6959	1.7058065	75.7078	1.8856022
motorcycle	123.0872	1.8326531	122.6767	1.7528001	126.8383	1.7431457	122.8602	1.4873599	64.9517	7.4487762
pedestrian	102.7011	9.1632653	100.0806	8.4450674	108.1309	9.1477095	98.0987	9.4805464	98.2837	8.4653954
truck	2.4056	0.4581633	2.4056	0.4581633	2.4056	0.4581633	2.4056	0.4581633	2.4056	0.4581633

[1] “ub”

temuco_padrelascasas ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	55.3811	26.537810	55.4020	25.623763	50.5844	28.677019	57.9693	22.418744	55.5958	24.536313
cycle	252.0297	6.629528	160.4857	11.809259	263.9978	6.138917	242.0366	5.527312	242.9540	6.051087
motorcycle	505.9010	7.532394	503.5333	7.194464	521.0605	7.160965	500.3444	6.057227	280.6975	32.190885
pedestrian	313.6018	27.980383	306.7034	25.880442	326.9906	27.662891	303.1494	29.297261	301.3437	25.955402
truck	14.1371	2.692553	14.1371	2.692553	14.1371	2.692553	14.1371	2.692553	14.1371	2.692553

[1] “lb”

temuco_padrelascasas lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	5.3592	2.5680684	5.3630	2.4804145	4.8883	2.7712534	5.5603	2.1503741	5.3784	2.3736544
cycle	25.6257	0.6740733	15.8241	1.1644096	27.0408	0.6287982	24.2785	0.5544404	24.7835	0.6172647
motorcycle	31.1664	0.4640387	31.1047	0.4444220	32.1147	0.4413538	31.4508	0.3807467	15.7885	1.8106522
pedestrian	37.1013	3.3102766	36.0434	3.0414405	39.3289	3.3271598	35.1718	3.3991026	35.4417	3.0526735
truck	0.4194	0.0798754	0.4194	0.0798754	0.4194	0.0798754	0.4194	0.0798754	0.4194	0.0798754

[1] NA

valdivia mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.1875	0.4404724	3.1713	0.4194297	3.2691	0.3796737	3.0276	0.5228542	3.2164	0.4013434
car	14.4097	3.3723376	14.5210	3.2410444	12.8486	3.5135348	14.6178	2.9393699	14.3530	3.1020623
cycle	83.4672	0.9870056	55.6500	1.9592776	83.3163	0.8931781	82.7189	0.9060076	82.4687	0.9108498
motorcycle	99.0763	0.6978317	98.8452	0.6332570	97.8801	0.6674989	102.3122	0.6779288	55.8057	2.7270232
pedestrian	78.9295	2.4658374	78.7516	2.3133532	77.2191	2.2432980	79.5160	2.7771376	77.4048	2.3218241

[1] “ub”

valdivia ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	24.8874	3.439182	24.8678	3.289011	25.3139	2.939967	24.6552	4.257812	25.1465	3.137834
car	85.2071	19.941277	85.8503	19.161539	75.4331	20.627643	86.6055	17.414751	84.9787	18.366111
cycle	638.3842	7.548942	445.3331	15.678908	638.1998	6.841716	632.6345	6.929146	629.6270	6.954101
motorcycle	916.1772	6.452981	905.0839	5.798471	906.4875	6.181841	930.7542	6.167249	572.4514	27.973656
pedestrian	411.7507	12.863515	409.5752	12.031404	403.4641	11.721060	412.3537	14.401670	402.0379	12.059469

[1] “lb”

valdivia lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.5045	0.0697149	0.5001	0.0661475	0.5208	0.0604884	0.4634	0.0800302	0.5088	0.0634863
car	2.7580	0.6454652	2.7813	0.6207712	2.4830	0.6789815	2.7894	0.5609040	2.7473	0.5937680
cycle	12.4636	0.1473832	8.0325	0.2828025	12.4338	0.1332947	12.3569	0.1353431	12.3539	0.1364463
motorcycle	13.1353	0.0925168	13.2852	0.0851126	12.9547	0.0883452	13.7753	0.0912762	6.6457	0.3247522
pedestrian	16.2370	0.5072599	16.2500	0.4773500	15.8870	0.4615350	16.4334	0.5739442	15.9872	0.4795490

[1] NA

accra mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.5488	10.325895	3.5350	10.04909	3.7473	10.011333	3.2166	10.928178	3.7082	9.901419
car	20.1294	22.290821	20.3786	21.48435	16.5520	25.627176	20.8259	17.109797	21.8005	22.205283
cycle	218.9227	8.195155	160.7413	39.88491	236.9328	7.999277	198.2307	5.972110	232.8027	8.060479
motorcycle	108.2008	23.110336	106.4020	22.70619	117.7288	22.057361	104.6742	16.061799	80.6164	56.981287
pedestrian	187.2273	112.437521	185.5213	104.26570	202.5456	112.619452	166.5267	98.914718	197.2513	112.151647
truck	14.7151	4.917093	14.6697	4.90191	14.8714	4.969315	14.4635	4.832998	14.8166	4.951004

[1] “ub”

accra ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.1108	14.870893	5.1350	14.597498	5.4045	14.438919	4.6092	15.659635	5.3676	14.332163
car	26.2423	29.060121	27.0357	28.502702	21.5465	33.359987	27.1000	22.264325	28.6447	29.176536
cycle	298.2982	11.166494	219.0518	54.353563	322.0804	10.874013	270.4424	8.147636	319.7463	11.070780
motorcycle	139.7084	29.839949	139.8136	29.836230	151.3779	28.361764	135.7675	20.832938	104.3044	73.724449
pedestrian	217.8593	130.833323	220.8931	124.145189	234.3240	130.288850	194.4420	115.496078	232.6641	132.286415
truck	24.2673	8.108961	24.2051	8.088181	24.6889	8.249855	23.5771	7.878335	24.5613	8.207198

[1] “lb”

accra lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.4771	7.207644	2.4646	7.006305	2.6109	6.975369	2.2559	7.664293	2.5762	6.878695
car	15.5457	17.214916	15.6929	16.544430	12.7977	19.814430	16.0986	13.225970	16.7045	17.014640
cycle	160.9942	6.026658	118.1873	29.325954	174.6095	5.895132	145.6077	4.386732	169.8950	5.882382
motorcycle	84.5578	18.060488	82.8475	17.679656	92.3213	17.297074	81.4144	12.492682	62.8769	44.442692
pedestrian	163.4821	98.177618	161.3383	90.674504	177.6196	98.760071	144.9675	86.108812	169.9420	96.624322
truck	9.3314	3.118110	9.3124	3.111747	9.3892	3.137414	9.2394	3.087353	9.3663	3.129761

[1] NA

bangalore mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.3824	15.95592	5.3873	15.46275	5.6751	15.70140	5.1034	18.87003	5.5154	13.77448
car	47.3674	33.24149	46.9166	32.25796	37.8970	55.20311	48.1111	29.83436	48.6971	28.42436
cycle	105.9265	25.26353	90.0016	55.73971	122.0646	26.61472	105.1323	22.81831	104.3193	21.69632
motorcycle	54.0344	398.89792	53.7876	385.70468	63.8624	441.52891	55.6049	363.44983	49.8855	406.46949
other	991.2027	15.95592	978.5182	15.09975	1119.1959	16.89119	1010.8801	14.32295	977.0828	13.80297
pedestrian	696.2740	393.57928	690.6299	370.76791	795.8872	434.72547	673.9997	407.44600	681.5321	360.73540
truck	51.9721	13.29660	51.9721	13.29660	51.9721	13.29660	51.9721	13.29660	51.9721	13.29660

[1] “ub”

bangalore ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	12.2010	36.16974	12.2162	35.06287	13.0876	36.20955	11.4882	42.47824	12.4874	31.18669
car	84.9465	59.61368	84.5870	58.15859	67.9963	99.04755	86.2803	53.50358	87.2455	50.92491
cycle	172.7258	41.19522	146.7316	90.87370	198.8357	43.35373	171.5423	37.23219	170.0703	35.37123
motorcycle	66.9973	494.59437	67.3775	483.15629	78.7763	544.63955	68.9736	450.83099	61.8432	503.90117
other	2277.6160	36.66400	2262.7097	34.91642	2526.8141	38.13531	2329.7067	33.00913	2253.5401	31.83511
pedestrian	856.7677	484.30075	857.8496	460.54055	976.2440	533.23902	829.9549	501.72391	837.7694	443.43192
truck	97.8234	25.02721	97.8234	25.02721	97.8234	25.02721	97.8234	25.02721	97.8234	25.02721

[1] “lb”

bangalore lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.4915	7.385953	2.4958	7.163550	2.5909	7.168319	2.3752	8.782412	2.5552	6.381470
car	26.5987	18.666451	26.3076	18.088027	21.2665	30.978114	27.0114	16.750125	27.3600	15.969922
cycle	65.1347	15.534678	55.3488	34.278547	75.1066	16.376091	64.6180	14.024935	64.1553	13.343027
motorcycle	44.1238	325.735204	43.8487	314.433897	52.2992	361.583610	45.3689	296.544147	40.7302	331.871420
other	469.5562	7.558696	462.3680	7.134912	535.8628	8.087376	477.9254	6.771626	461.7780	6.523405
pedestrian	572.0967	323.386205	566.6537	304.210671	654.8196	357.672243	553.3883	334.534018	560.1897	296.508803
truck	27.6121	7.064291	27.6121	7.064291	27.6121	7.064291	27.6121	7.064291	27.6121	7.064291

[1] NA

cape_town mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.7225	20.305130	5.7918	20.248410	6.2584	20.007581	4.9196	21.879796	6.1283	20.072416
car	28.7087	188.431605	29.5002	188.381250	27.8288	205.737229	30.3013	166.992823	31.0738	192.708269
cycle	474.2283	7.715949	315.9857	104.362033	524.1781	6.940877	444.8321	7.006667	500.5148	7.684482
motorcycle	656.7633	47.717055	665.9433	47.663597	740.3295	44.562162	611.1027	43.077382	367.1556	350.264270
other	117.1919	2.030513	118.5434	1.960568	132.1474	1.803957	108.8831	1.886551	122.4554	2.121710
pedestrian	499.1873	331.988873	506.9420	323.073626	537.7332	325.257853	460.7985	306.794437	523.7704	332.374740
truck	3.0095	6.294590	3.0336	6.344878	3.2055	6.704376	2.7906	5.836641	3.1482	6.584691

[1] “ub”

cape_town ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	7.5742	26.87556	7.8292	27.371386	8.2380	26.336104	6.5572	29.163116	8.2150	26.907212
car	31.9001	209.37797	33.5973	214.543775	30.8576	228.129340	33.7060	185.756294	35.2489	218.600804
cycle	663.1801	10.79030	441.8882	145.944443	731.9968	9.692698	622.7729	9.809461	708.5306	10.878180
motorcycle	783.6064	56.93282	814.0308	58.262670	879.9739	52.967678	732.0065	51.600039	438.6746	418.492973
other	222.1340	3.84878	227.5858	3.764002	250.2326	3.415950	206.5209	3.578262	233.7184	4.049496
pedestrian	543.7933	361.65448	568.1997	362.113154	583.3555	352.853336	503.8996	335.490635	584.9928	371.225303
truck	4.9551	10.36379	5.0723	10.608943	5.2329	10.944982	4.6407	9.706248	5.2093	10.895482

[1] “lb”

cape_town lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	4.3782	15.535037	4.3757	15.297738	4.8105	15.3788135	3.7415	16.6402497	4.6312	15.168808
car	25.9546	170.354455	26.3479	168.251122	25.2022	186.3187120	27.3614	150.7906919	27.6285	171.341672
cycle	339.3790	5.521878	226.1317	74.685549	375.6119	4.9736449	317.9958	5.0088354	354.3076	5.439740
motorcycle	557.8146	40.527945	558.2587	39.956282	630.5785	37.9559894	517.4142	36.4731657	311.5641	297.230317
other	61.8644	1.071887	62.0340	1.025969	69.8213	0.9531367	57.4421	0.9952644	64.2246	1.112781
pedestrian	460.4098	306.199589	461.0153	293.804606	497.6761	301.0285651	423.4743	281.9443704	473.4295	300.429334
truck	2.0173	4.219383	2.0107	4.205547	2.1551	4.5074657	1.8648	3.9003696	2.0906	4.372597

[1] NA

delhi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9467	7.476387	0.9422	7.200227	0.9886	7.184743	0.8718	9.128015	0.9846	6.672195
car	12.5375	123.734206	12.5032	121.033510	11.8907	141.534992	12.7211	111.017899	13.1461	112.475343
cycle	93.7394	101.678865	88.2435	180.921132	100.4555	96.310494	92.7618	87.614897	93.2475	91.214489
motorcycle	86.1816	758.479472	85.6634	723.436320	92.4710	749.344169	88.1845	651.582634	76.1936	909.998309
pedestrian	426.5115	869.503820	423.3655	824.119350	449.6067	860.757840	410.1922	836.175180	425.9715	802.812719
truck	15.5967	49.717974	15.4558	49.268775	15.9996	51.002254	15.3116	48.809179	15.4732	49.324211

[1] “ub”

delhi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.8871	14.90260	1.8781	14.35190	1.9705	14.32081	1.7377	18.19371	1.9629	13.30127
car	14.8792	146.84518	14.8341	143.59673	14.1031	167.86973	15.1030	131.80469	15.6163	133.60967
cycle	108.3843	117.56410	102.0211	209.16865	116.0644	111.27530	107.2975	101.34402	107.9141	105.56136
motorcycle	93.3263	821.35955	92.7682	783.43786	100.0301	810.59905	95.6184	706.51106	82.5483	985.89401
pedestrian	460.7149	939.23243	457.2712	890.11979	484.9215	928.36682	443.4906	904.05378	460.9258	868.68989
truck	20.3958	65.01631	20.2037	64.40405	20.9397	66.75012	20.0104	63.78765	20.2323	64.49501

[1] “lb”

delhi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.4750	3.75079	0.4727	3.612303	0.4960	3.604591	0.4374	4.579652	0.4939	3.346923
car	10.5753	104.36980	10.5496	102.121693	10.0356	119.454594	10.7262	93.608318	11.0785	94.785737
cycle	81.0798	87.94702	76.3325	156.500630	86.9524	83.364516	80.2016	75.751578	80.5812	78.824309
motorcycle	79.6055	700.60303	79.1241	668.211208	85.5061	692.903141	81.3507	601.088540	70.3472	840.173591
pedestrian	395.7153	806.72159	392.8476	764.713430	417.7406	799.751195	380.2510	775.140241	394.5503	743.594394
truck	11.9392	38.05902	11.8358	37.729446	12.2376	39.010269	11.7284	37.386830	11.8460	37.761821

[1] NA

vizag mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.9101	3.364374	1.9203	3.231982	2.0087	3.163492	1.8283	3.845853	1.9734	3.011875
car	71.6483	8.074498	71.5316	7.583587	60.8985	28.689573	71.7345	5.908039	77.7871	7.153874
cycle	159.9198	15.924705	140.5522	34.657642	229.9508	21.065562	148.8974	11.441625	180.0198	15.846326
motorcycle	140.3660	117.753097	139.2610	112.056015	204.0763	154.656819	143.1538	87.370480	126.6282	162.037376
other	16.2545	2.018625	15.8418	1.947792	23.4177	2.584106	16.1069	1.385278	20.0053	1.635268
pedestrian	352.8616	116.631639	347.3305	107.754776	502.7261	158.427479	314.1907	104.481076	395.4924	122.745358
truck	176.3293	7.177332	175.4343	7.140899	190.5564	7.756434	172.6198	7.026339	180.1000	7.330815

[1] “ub”

vizag ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	4.3180	7.605425	4.3201	7.270889	4.9584	7.809116	4.0154	8.446570	4.5822	6.993607
car	120.2471	13.551410	119.9869	12.720696	102.0770	48.088924	120.1781	9.897841	131.0223	12.049777
cycle	213.2399	21.234285	187.3805	46.204637	307.6163	28.180424	198.6272	15.262979	239.7716	21.106008
motorcycle	164.8488	138.291760	163.4881	131.550293	241.0131	182.648987	168.1349	102.617099	148.5304	190.064126
other	33.9640	4.217934	33.0992	4.069637	48.9931	5.406315	33.6616	2.895073	41.7823	3.415365
pedestrian	418.2923	138.258473	411.7380	127.736372	597.2950	188.229610	373.2420	124.118014	467.3717	145.053884
truck	298.8339	12.163775	296.1533	12.054664	341.5495	13.902475	287.7639	11.713180	310.0454	12.620128

[1] “lb”

vizag lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0105	1.7798975	1.0173	1.7120795	1.0364	1.632203	0.9747	2.0502172	1.0364	1.5817234
car	42.7941	4.8227378	42.7468	4.5319001	36.4183	17.156845	42.9216	3.5350116	46.2941	4.2575468
cycle	119.9515	11.9446930	105.4438	26.0005245	171.9166	15.749113	111.6396	8.5786445	135.1763	11.8989534
motorcycle	119.5740	100.3107241	118.6776	95.4936257	172.8672	131.005405	121.9446	74.4259346	108.0027	138.2035511
other	7.7793	0.9661007	7.5823	0.9322677	11.1934	1.235174	7.7073	0.6628691	9.5787	0.7829786
pedestrian	301.0540	99.5076001	296.4200	91.9604599	426.5330	134.416252	267.8636	89.0754631	338.0936	104.9310333
truck	109.5964	4.4610273	109.2976	4.4488623	114.3350	4.653906	108.3534	4.4104304	110.8646	4.5126459

[1] NA

kisumu mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	59.4090	7.4739810	58.6942	7.0162820	73.4802	7.9360737	52.9256	8.5005897	61.2477	6.0273827
car	34.3764	1.9668371	34.4652	1.8705998	35.3594	3.4648749	35.5600	1.4717718	35.1109	1.6650734
cycle	90.1872	1.5734697	77.8393	3.1057776	106.5417	1.7235766	87.9182	1.4166284	87.5080	1.4004867
motorcycle	200.3160	29.8959240	198.7675	27.6744299	241.4297	31.6689437	199.0413	23.5404558	174.1996	33.6966196
other	944.2593	2.7535720	925.8979	2.7000278	912.7739	1.5539736	1218.2741	2.1151506	1067.2913	2.4107202
pedestrian	277.2985	14.9479620	274.1414	13.9442760	327.0193	16.6642379	267.7273	14.4069689	269.8459	13.3592917
truck	22.8334	0.3933674	22.8334	0.3933674	22.8334	0.3933674	22.8334	0.3933674	22.8334	0.3933674

[1] “ub”

kisumu ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	123.6949	15.561515	122.1292	14.599268	148.3883	16.026353	110.9684	17.823075	128.6676	12.662163
car	131.1102	7.501426	131.5868	7.141879	135.2995	13.258039	134.6529	5.573067	134.5031	6.378579
cycle	262.5008	4.579771	226.1369	9.022833	308.1318	4.984796	255.3935	4.115162	255.5464	4.089791
motorcycle	286.8633	42.812576	283.8814	39.524851	345.5572	45.327620	285.8627	33.808759	247.8815	47.949414
other	2192.1840	6.392668	2144.5757	6.253837	2102.7897	3.579944	2821.5105	4.898667	2487.8349	5.619341
pedestrian	446.7345	24.081525	440.0102	22.381236	521.2742	26.563071	429.7331	23.124841	437.1976	21.644390
truck	168.7153	2.906586	168.7153	2.906586	168.7153	2.906586	168.7153	2.906586	168.7153	2.906586

[1] “lb”

kisumu lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	33.0693	4.1603004	32.7171	3.9109855	41.2076	4.4505406	29.5422	4.7448876	33.9003	3.3361221
car	10.5418	0.6031479	10.5701	0.5736913	10.8386	1.0620735	10.9577	0.4535232	10.7259	0.5086562
cycle	31.4833	0.5492803	27.2101	1.0856782	37.3188	0.6037246	30.7343	0.4952225	30.4771	0.4877579
motorcycle	144.1964	21.5204281	143.3346	19.9565043	172.9073	22.6806863	142.9758	16.9096418	126.1577	24.4035497
other	415.5895	1.2119081	408.1820	1.1903070	403.2046	0.6864453	537.0470	0.9324136	468.5415	1.0583076
pedestrian	179.2009	9.6599474	177.6130	9.0343344	211.9467	10.8003694	173.3796	9.3299222	173.9874	8.6136119
truck	3.0902	0.0532370	3.0902	0.0532370	3.0902	0.0532370	3.0902	0.0532370	3.0902	0.0532370

[1] NA

nairobi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.0330	33.436231	3.0367	32.574926	3.2802	33.720506	2.7861	33.424076	3.0477	31.575799
car	13.5455	68.839299	13.5282	67.664961	13.2193	80.361580	14.1747	59.910867	13.6693	65.410624
cycle	48.3105	9.834186	39.5457	28.944320	51.1461	9.766582	47.7106	8.261455	48.0051	9.146711
motorcycle	111.8782	158.330387	111.4199	152.941925	119.8905	157.226278	110.4597	134.131701	96.0309	242.964978
other	173.1908	8.850767	172.4274	8.698135	184.1815	8.569634	172.0222	7.325870	173.0155	8.297112
pedestrian	254.2476	449.422279	253.9526	423.914825	270.3514	450.536762	244.4709	420.813908	251.9760	419.736491
truck	2.9925	4.917093	2.9925	4.917093	2.9925	4.917093	2.9925	4.917093	2.9925	4.917093

[1] “ub”

nairobi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.0001	55.12191	5.0574	54.25126	5.3696	55.20009	4.6118	55.32522	5.0391	52.20799
car	19.5307	99.25634	19.7555	98.81271	19.0596	115.86572	20.3797	86.13697	19.7742	94.62413
cycle	92.5841	18.84661	75.7726	55.45958	97.9185	18.69798	91.4136	15.82896	92.1944	17.56637
motorcycle	141.6715	200.49399	142.9710	196.25089	151.3044	198.42293	140.0126	170.01788	121.5552	307.54319
other	344.6341	17.61223	345.9563	17.45184	365.9855	17.02864	342.1071	14.56924	344.9275	16.54131
pedestrian	301.4946	532.93873	305.2758	509.58700	319.5300	532.49208	289.6302	498.54778	300.3718	500.35321
truck	7.3194	12.02689	7.3194	12.02689	7.3194	12.02689	7.3194	12.02689	7.3194	12.02689

[1] “lb”

nairobi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.8821	20.748074	1.8799	20.166404	2.0471	21.043968	1.7224	20.662866	1.8851	19.530501
car	9.5240	48.401416	9.4879	47.456370	9.2921	56.488105	9.9846	42.200909	9.5781	45.833230
cycle	25.2595	5.141887	20.6797	15.135921	26.7642	5.110740	24.9504	4.320358	25.0497	4.772875
motorcycle	90.7630	128.448109	90.1873	123.796700	97.4180	127.755474	89.5381	108.726506	77.9304	197.169377
other	87.4793	4.470554	86.9270	4.385050	93.1145	4.332451	86.9122	3.701310	87.2265	4.183022
pedestrian	217.2614	384.043432	216.5761	361.523409	231.4867	385.769193	208.9406	359.654641	214.3969	357.138097
truck	1.2235	2.010313	1.2235	2.010313	1.2235	2.010313	1.2235	2.010313	1.2235	2.010313

[1] NA

port_louis mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	10.2411	0.9834186	9.7085	0.9004504	11.3301	0.8942741	8.4836	1.052411	11.7640	0.9498459
cycle	1208.0065	2.6224495	858.0834	16.7116178	1284.2339	2.2810344	1221.8061	2.170151	1327.7469	2.1399582
motorcycle	278.4834	19.9961773	275.9582	18.0040202	301.9954	18.4561011	273.7686	16.803090	249.2859	26.6666808
pedestrian	551.5156	14.4234721	524.9378	13.0252525	580.1019	14.0549064	502.0357	13.712420	594.9176	14.2797587
truck	78.5533	1.6390309	76.7902	1.6022434	79.8327	1.6657257	75.4915	1.575147	80.7469	1.6848015

[1] “ub”

port_louis ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	35.8953	3.446915	34.0828	3.161140	39.6739	3.131416	29.8754	3.706122	41.0839	3.317195
cycle	3535.3050	7.674759	2513.6456	48.954546	3794.2846	6.739343	3582.2601	6.362749	3945.3244	6.358764
motorcycle	478.8425	34.382730	473.7739	30.909879	518.1316	31.665016	470.8022	28.896420	429.4540	45.939667
pedestrian	986.5025	25.799437	941.3173	23.356855	1034.2987	25.059342	904.5130	24.705538	1059.3657	25.427869
truck	296.1450	6.179129	288.4002	6.017532	301.7051	6.295142	282.8302	5.901312	305.6283	6.376999

[1] “lb”

port_louis lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.9307	0.2814295	2.7742	0.2573084	3.2450	0.2561233	2.4173	0.2998757	3.3781	0.2727525
cycle	423.3370	0.9190181	300.3168	5.8488249	445.5821	0.7914353	427.1930	0.7587729	457.9030	0.7380121
motorcycle	164.1222	11.7846038	162.9288	10.6297752	178.2582	10.8940436	161.3923	9.9057737	146.7225	15.6952403
pedestrian	311.0402	8.1344579	295.3999	7.3297417	328.2287	7.9524357	281.1613	7.6795371	336.8995	8.0865702
truck	21.2626	0.4436483	20.8611	0.4352718	21.5571	0.4497944	20.5584	0.4289555	21.7698	0.4542312

Change in deaths due to injury per Billion km across cities

# of deaths due to injury per 100,000 people

[1] “antofagasta” [1] NA

antofagasta
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.51	0.50	0.46	0.59	0.48	2.54
car	3.60	3.49	3.84	3.13	3.33	17.39
cycle	0.09	0.77	0.08	0.07	0.08	1.09
motorcycle	0.86	0.79	0.82	0.79	3.96	7.22
pedestrian	1.89	1.73	1.89	1.97	1.74	9.22
truck	0.86	0.85	0.86	0.85	0.85	4.27
Total	7.81	8.13	7.95	7.40	10.44	41.73

[1] “ub”

antofagasta
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.70	1.65	1.53	1.94	1.59	8.41
car	10.46	10.13	11.15	9.11	9.67	50.52
cycle	0.80	7.70	0.77	0.67	0.73	10.67
motorcycle	3.35	3.10	3.22	3.07	15.20	27.94
pedestrian	6.57	6.05	6.55	6.89	6.07	32.13
truck	3.18	3.16	3.23	3.10	3.13	15.80
Total	26.06	31.79	26.45	24.78	36.39	145.47

[1] “lb”

antofagasta
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.16	0.15	0.14	0.18	0.15	0.78
car	1.33	1.29	1.42	1.15	1.23	6.42
cycle	0.01	0.08	0.01	0.01	0.01	0.12
motorcycle	0.24	0.22	0.23	0.22	1.09	2.00
pedestrian	0.61	0.56	0.61	0.64	0.56	2.98
truck	0.27	0.27	0.27	0.27	0.27	1.35
Total	2.62	2.57	2.68	2.47	3.31	13.65

[1] “arica” [1] NA

arica
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.29	0.28	0.24	0.36	0.25	1.42
car	5.99	5.73	6.36	5.21	5.46	28.75
cycle	0.73	2.25	0.70	0.63	0.64	4.95
motorcycle	1.32	1.22	1.23	1.24	6.55	11.56
pedestrian	6.72	6.25	6.62	6.77	6.17	32.53
truck	1.61	1.60	1.61	1.59	1.60	8.01
Total	16.66	17.33	16.76	15.80	20.67	87.22

[1] “ub”

arica
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	2.19	2.07	1.81	2.73	1.87	10.67
car	9.77	9.32	10.33	8.56	8.86	46.84
cycle	1.96	6.03	1.87	1.71	1.71	13.28
motorcycle	3.51	3.26	3.28	3.31	17.43	30.79
pedestrian	11.86	11.06	11.54	12.22	10.94	57.62
truck	3.87	3.83	3.91	3.78	3.78	19.17
Total	33.16	35.57	32.74	32.31	44.59	178.37

[1] “lb”

arica
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.04	0.04	0.03	0.05	0.03	0.19
car	3.83	3.66	4.08	3.31	3.50	18.38
cycle	0.28	0.85	0.27	0.24	0.24	1.88
motorcycle	0.50	0.46	0.47	0.47	2.49	4.39
pedestrian	4.16	3.85	4.13	4.11	3.80	20.05
truck	0.80	0.79	0.80	0.79	0.79	3.97
Total	9.61	9.65	9.78	8.97	10.85	48.86

[1] “belo_horizonte” [1] NA

belo_horizonte
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.13	0.12	0.15	0.13	0.66
car	2.39	2.33	2.67	2.16	2.31	11.86
cycle	0.38	1.65	0.33	0.35	0.37	3.08
motorcycle	3.34	3.29	3.07	3.06	4.57	17.33
other	1.32	1.28	1.18	1.15	1.25	6.18
pedestrian	4.26	4.06	3.99	4.45	4.33	21.09
rail	0.00	0.00	0.00	0.00	0.00	0.00
truck	0.18	0.18	0.18	0.18	0.19	0.91
Total	12.00	12.92	11.54	11.50	13.15	61.11

[1] “ub”

belo_horizonte
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.22	0.21	0.20	0.25	0.21	1.09
car	2.72	2.66	3.02	2.45	2.63	13.48
cycle	0.52	2.24	0.46	0.48	0.51	4.21
motorcycle	3.78	3.76	3.47	3.47	5.17	19.65
other	1.52	1.48	1.36	1.33	1.44	7.13
pedestrian	4.78	4.62	4.47	4.99	4.87	23.73
rail	0.03	0.03	0.03	0.03	0.03	0.15
truck	0.28	0.28	0.28	0.28	0.29	1.41
Total	13.85	15.28	13.29	13.28	15.15	70.85

[1] “lb”

belo_horizonte
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.08	0.08	0.07	0.09	0.08	0.40
car	2.12	2.06	2.36	1.91	2.04	10.49
cycle	0.28	1.21	0.25	0.26	0.27	2.27
motorcycle	2.96	2.90	2.73	2.72	4.05	15.36
other	1.15	1.12	1.03	1.01	1.09	5.40
pedestrian	3.81	3.61	3.58	3.99	3.88	18.87
rail	0.00	0.00	0.00	0.00	0.00	0.00
truck	0.12	0.12	0.12	0.12	0.12	0.60
Total	10.52	11.10	10.14	10.10	11.53	53.39

[1] “bogota” [1] NA

bogota
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.13	0.12	0.15	0.12	0.65
car	0.36	0.35	0.41	0.31	0.35	1.78
cycle	1.10	1.62	1.04	0.95	1.07	5.78
motorcycle	3.42	3.35	3.31	2.90	4.13	17.11
pedestrian	2.92	2.76	2.78	2.86	2.89	14.21
truck	0.03	0.03	0.03	0.03	0.03	0.15
Total	7.96	8.24	7.69	7.20	8.59	39.68

[1] “ub”

bogota
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.23	0.22	0.22	0.26	0.22	1.15
car	0.57	0.55	0.63	0.49	0.54	2.78
cycle	1.41	2.09	1.33	1.22	1.37	7.42
motorcycle	4.32	4.25	4.17	3.67	5.26	21.67
pedestrian	3.65	3.45	3.47	3.56	3.61	17.74
truck	0.08	0.08	0.08	0.08	0.09	0.41
Total	10.26	10.64	9.90	9.28	11.09	51.17

[1] “lb”

bogota
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.07	0.07	0.07	0.08	0.07	0.36
car	0.23	0.23	0.26	0.20	0.23	1.15
cycle	0.87	1.26	0.81	0.75	0.84	4.53
motorcycle	2.73	2.67	2.64	2.31	3.28	13.63
pedestrian	2.35	2.22	2.24	2.30	2.33	11.44
truck	0.01	0.01	0.01	0.01	0.01	0.05
Total	6.26	6.46	6.03	5.65	6.76	31.16

[1] “buenos_aires” [1] NA

buenos_aires
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.04	0.04	0.04	0.05	0.04	0.21
car	0.97	0.94	1.16	0.78	0.97	4.82
cycle	0.17	0.39	0.16	0.15	0.19	1.06
motorcycle	2.35	2.28	2.26	1.79	4.56	13.24
pedestrian	2.85	2.69	2.78	2.77	3.32	14.41
truck	0.03	0.03	0.03	0.03	0.03	0.15
Total	6.41	6.37	6.43	5.57	9.11	33.89

[1] “ub”

buenos_aires
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.12	0.11	0.11	0.14	0.11	0.59
car	1.33	1.29	1.59	1.07	1.36	6.64
cycle	0.37	0.84	0.35	0.32	0.40	2.28
motorcycle	3.04	2.99	2.92	2.31	5.90	17.16
pedestrian	3.62	3.46	3.51	3.52	4.23	18.34
truck	0.10	0.10	0.10	0.10	0.10	0.50
Total	8.58	8.79	8.58	7.46	12.10	45.51

[1] “lb”

buenos_aires
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.01	0.01	0.01	0.02	0.01	0.06
car	0.72	0.70	0.87	0.58	0.71	3.58
cycle	0.08	0.19	0.08	0.07	0.10	0.52
motorcycle	1.84	1.78	1.78	1.40	3.56	10.36
pedestrian	2.27	2.13	2.22	2.21	2.64	11.47
truck	0.01	0.01	0.01	0.01	0.01	0.05
Total	4.93	4.82	4.97	4.29	7.03	26.04

[1] “cali” [1] NA

cali
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.02	0.02	0.02	0.02	0.02	0.10
car	0.70	0.68	0.81	0.63	0.66	3.48
cycle	1.82	3.29	1.69	1.58	1.75	10.13
motorcycle	9.66	9.38	9.50	8.66	10.17	47.37
other	0.02	0.02	0.01	0.01	0.02	0.08
pedestrian	5.54	5.22	5.29	5.31	5.33	26.69
Total	17.76	18.61	17.32	16.21	17.95	87.85

[1] “ub”

cali
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.13	0.12	0.18	0.12	0.68
car	1.10	1.07	1.26	0.98	1.04	5.45
cycle	2.44	4.40	2.25	2.11	2.34	13.54
motorcycle	11.42	11.14	11.19	10.24	12.01	56.00
other	0.13	0.12	0.10	0.09	0.12	0.56
pedestrian	6.67	6.32	6.36	6.42	6.41	32.18
Total	21.89	23.18	21.28	20.02	22.04	108.41

[1] “lb”

cali
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.00	0.00	0.00	0.00	0.00	0.00
car	0.46	0.45	0.53	0.41	0.43	2.28
cycle	1.40	2.53	1.30	1.21	1.35	7.79
motorcycle	8.28	8.01	8.15	7.40	8.72	40.56
other	0.00	0.00	0.00	0.00	0.00	0.00
pedestrian	4.65	4.37	4.44	4.44	4.49	22.39
Total	14.79	15.36	14.42	13.46	14.99	73.02

[1] “copiapo” [1] NA

copiapo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.63	0.61	0.54	0.83	0.57	3.18
car	4.60	4.45	4.78	4.07	4.32	22.22
cycle	1.05	5.26	0.99	1.01	1.20	9.51
motorcycle	2.30	2.13	2.08	2.25	12.39	21.15
pedestrian	2.30	2.15	2.21	2.49	2.64	11.79
truck	0.84	0.83	0.84	0.83	0.89	4.23
Total	11.72	15.43	11.44	11.48	22.01	72.08

[1] “ub”

copiapo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.99	1.93	1.71	2.64	1.82	10.09
car	8.67	8.35	8.91	7.80	9.40	43.13
cycle	3.36	16.84	3.12	3.28	5.16	31.76
motorcycle	6.07	5.62	5.45	6.02	32.71	55.87
pedestrian	5.98	5.56	5.63	6.61	9.62	33.40
truck	3.76	3.69	3.73	3.75	4.73	19.66
Total	29.83	41.99	28.55	30.10	63.44	193.91

[1] “lb”

copiapo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.20	0.19	0.17	0.26	0.18	1.00
car	2.86	2.77	2.98	2.52	2.64	13.77
cycle	0.35	1.76	0.33	0.33	0.35	3.12
motorcycle	0.88	0.82	0.80	0.85	4.74	8.09
pedestrian	0.98	0.91	0.95	1.04	0.96	4.84
truck	0.22	0.22	0.22	0.22	0.23	1.11
Total	5.49	6.67	5.45	5.22	9.10	31.93

[1] “coquimbo_laserena” [1] NA

coquimbo_laserena
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.43	0.42	0.39	0.51	0.40	2.15
car	4.39	4.24	4.60	3.92	4.02	21.17
cycle	0.43	1.96	0.40	0.39	0.39	3.57
motorcycle	1.80	1.74	1.69	1.54	11.04	17.81
pedestrian	3.02	2.80	2.95	2.97	2.74	14.48
truck	0.29	0.29	0.29	0.29	0.29	1.45
Total	10.36	11.45	10.32	9.62	18.88	60.63

[1] “ub”

coquimbo_laserena
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.39	1.35	1.27	1.62	1.28	6.91
car	6.69	6.46	7.00	6.00	6.12	32.27
cycle	1.05	4.76	0.97	0.95	0.95	8.68
motorcycle	3.39	3.28	3.16	2.93	20.85	33.61
pedestrian	4.78	4.44	4.64	4.76	4.35	22.97
truck	0.78	0.78	0.78	0.78	0.78	3.90
Total	18.08	21.07	17.82	17.04	34.33	108.34

[1] “lb”

coquimbo_laserena
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.14	0.14	0.13	0.16	0.13	0.70
car	2.95	2.85	3.10	2.62	2.71	14.23
cycle	0.18	0.81	0.17	0.16	0.16	1.48
motorcycle	0.97	0.93	0.91	0.82	5.91	9.54
pedestrian	1.95	1.80	1.91	1.89	1.76	9.31
truck	0.11	0.11	0.11	0.11	0.11	0.55
Total	6.30	6.64	6.33	5.76	10.78	35.81

[1] “gran_valparaiso” [1] NA

gran_valparaiso
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.07	0.06	0.06	0.07	0.06	0.32
car	2.13	2.09	2.30	1.89	2.01	10.42
cycle	0.07	0.32	0.06	0.06	0.06	0.57
motorcycle	0.86	0.85	0.75	0.67	5.17	8.30
other	0.03	0.03	0.03	0.03	0.03	0.15
pedestrian	2.69	2.57	2.65	2.72	2.54	13.17
truck	0.40	0.40	0.40	0.40	0.40	2.00
Total	6.25	6.32	6.25	5.84	10.27	34.93

[1] “ub”

gran_valparaiso
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.50	0.50	0.46	0.56	0.48	2.50
car	3.32	3.54	3.55	2.92	3.51	16.84
cycle	0.29	1.38	0.27	0.24	0.28	2.46
motorcycle	1.60	1.65	1.38	1.25	9.57	15.45
other	0.26	0.26	0.24	0.23	0.24	1.23
pedestrian	4.28	4.49	4.14	4.35	4.63	21.89
truck	0.71	0.71	0.71	0.71	0.71	3.55
Total	10.96	12.53	10.75	10.26	19.42	63.92

[1] “lb”

gran_valparaiso
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.01	0.01	0.01	0.01	0.01	0.05
car	1.45	1.40	1.57	1.28	1.34	7.04
cycle	0.02	0.08	0.02	0.01	0.01	0.14
motorcycle	0.48	0.46	0.42	0.37	2.84	4.57
other	0.00	0.00	0.00	0.00	0.00	0.00
pedestrian	1.88	1.75	1.87	1.88	1.72	9.10
truck	0.22	0.22	0.22	0.22	0.22	1.10
Total	4.06	3.92	4.11	3.77	6.14	22.00

[1] “iquique_altohospicio” [1] NA

iquique_altohospicio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.32	0.38	0.29	0.37	0.32	1.68
car	3.41	3.57	3.56	3.05	3.29	16.88
cycle	0.32	3.10	0.29	0.30	0.34	4.35
motorcycle	1.17	1.24	1.07	1.10	6.69	11.27
pedestrian	2.03	2.34	1.96	2.13	2.13	10.59
truck	0.53	0.53	0.53	0.53	0.53	2.65
Total	7.78	11.16	7.70	7.48	13.30	47.42

[1] “ub”

iquique_altohospicio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.25	1.97	1.11	1.47	1.53	7.33
car	6.31	8.35	6.51	5.66	7.03	33.86
cycle	1.23	11.90	1.09	1.15	1.56	16.93
motorcycle	3.09	4.01	2.80	2.91	17.57	30.38
pedestrian	4.86	7.91	4.61	5.17	6.48	29.03
truck	1.30	1.30	1.30	1.30	1.30	6.50
Total	18.04	35.44	17.42	17.66	35.47	124.03

[1] “lb”

iquique_altohospicio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.09	0.09	0.08	0.10	0.08	0.44
car	2.09	2.05	2.18	1.86	1.94	10.12
cycle	0.09	0.84	0.08	0.08	0.08	1.17
motorcycle	0.47	0.46	0.42	0.44	2.66	4.45
pedestrian	0.96	0.95	0.94	0.99	0.92	4.76
truck	0.22	0.22	0.22	0.22	0.22	1.10
Total	3.92	4.61	3.92	3.69	5.90	22.04

[1] “medellin” [1] NA

medellin
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
auto_rickshaw	0.01	0.01	0.01	0.01	0.01	0.05
bus	0.15	0.15	0.14	0.19	0.14	0.77
car	0.24	0.24	0.32	0.21	0.23	1.24
cycle	0.55	2.16	0.51	0.46	0.53	4.21
motorcycle	6.92	6.84	6.95	6.33	7.72	34.76
pedestrian	4.15	3.93	4.13	4.18	4.08	20.47
truck	0.06	0.06	0.06	0.06	0.06	0.30
Total	12.08	13.39	12.12	11.44	12.77	61.80

[1] “ub”

medellin
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
auto_rickshaw	0.08	0.08	0.06	0.06	0.08	0.36
bus	0.32	0.31	0.30	0.40	0.30	1.63
car	0.43	0.42	0.56	0.38	0.41	2.20
cycle	0.82	3.22	0.76	0.68	0.79	6.27
motorcycle	8.00	8.02	8.02	7.31	8.91	40.26
pedestrian	4.93	4.75	4.91	4.97	4.84	24.40
truck	0.20	0.20	0.20	0.19	0.20	0.99
Total	14.78	17.00	14.81	13.99	15.53	76.11

[1] “lb”

medellin
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
auto_rickshaw	0.00	0.00	0.00	0.00	0.00	0.00
bus	0.08	0.08	0.08	0.10	0.08	0.42
car	0.15	0.14	0.19	0.13	0.14	0.75
cycle	0.37	1.45	0.35	0.31	0.36	2.84
motorcycle	6.03	5.92	6.05	5.51	6.72	30.23
pedestrian	3.51	3.30	3.50	3.53	3.46	17.30
truck	0.02	0.02	0.02	0.02	0.02	0.10
Total	10.16	10.91	10.19	9.60	10.78	51.64

[1] “mexico_city” [1] NA

mexico_city
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.16	0.16	0.15	0.19	0.16	0.82
car	4.19	4.13	4.61	3.64	4.62	21.19
cycle	0.47	1.95	0.43	0.41	0.59	3.85
motorcycle	1.49	1.48	1.41	1.26	4.04	9.68
other	0.71	0.69	0.68	0.61	0.94	3.63
pedestrian	7.30	7.06	6.96	7.30	9.82	38.44
truck	0.14	0.14	0.14	0.14	0.14	0.70
Total	14.46	15.61	14.38	13.55	20.31	78.31

[1] “ub”

mexico_city
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.39	0.39	0.37	0.44	0.43	2.02
car	5.00	4.97	5.50	4.34	5.60	25.41
cycle	0.78	3.24	0.72	0.69	0.96	6.39
motorcycle	2.03	2.05	1.91	1.72	5.50	13.21
other	1.07	1.06	1.03	0.92	1.40	5.48
pedestrian	8.67	8.59	8.25	8.68	11.65	45.84
truck	0.26	0.26	0.26	0.26	0.26	1.30
Total	18.20	20.56	18.04	17.05	25.80	99.65

[1] “lb”

mexico_city
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.08	0.08	0.07	0.09	0.08	0.40
car	3.53	3.46	3.90	3.07	3.85	17.81
cycle	0.29	1.21	0.27	0.25	0.37	2.39
motorcycle	1.10	1.09	1.05	0.93	2.99	7.16
other	0.49	0.47	0.47	0.42	0.66	2.51
pedestrian	6.20	5.91	5.92	6.19	8.33	32.55
truck	0.07	0.07	0.07	0.07	0.07	0.35
Total	11.76	12.29	11.75	11.02	16.35	63.17

[1] “montevideo” [1] NA

montevideo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.03	0.03	0.03	0.04	0.03	0.16
car	1.43	1.38	1.63	1.21	1.36	7.01
cycle	0.45	1.49	0.44	0.40	0.43	3.21
motorcycle	4.74	4.50	4.64	3.73	7.06	24.67
pedestrian	1.92	1.77	1.86	1.88	1.86	9.29
truck	0.10	0.10	0.10	0.10	0.10	0.50
Total	8.67	9.27	8.70	7.36	10.84	44.84

[1] “ub”

montevideo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.25	0.23	0.30	0.24	1.28
car	2.41	2.32	2.74	2.03	2.30	11.80
cycle	1.06	3.49	1.01	0.94	1.01	7.51
motorcycle	6.76	6.40	6.56	5.36	10.06	35.14
pedestrian	2.99	2.76	2.87	2.94	2.95	14.51
truck	0.33	0.33	0.33	0.33	0.33	1.65
Total	13.81	15.55	13.74	11.90	16.89	71.89

[1] “lb”

montevideo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.00	0.00	0.00	0.01	0.00	0.01
car	0.87	0.84	1.00	0.74	0.82	4.27
cycle	0.20	0.67	0.20	0.18	0.19	1.44
motorcycle	3.42	3.25	3.37	2.68	5.09	17.81
pedestrian	1.27	1.18	1.25	1.25	1.22	6.17
truck	0.03	0.03	0.03	0.03	0.03	0.15
Total	5.79	5.97	5.85	4.89	7.35	29.85

[1] “osorno” [1] NA

osorno
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	6.73	6.49	7.10	6.03	6.20	32.55
cycle	0.20	0.65	0.18	0.17	0.18	1.38
motorcycle	0.99	0.92	0.94	0.93	5.36	9.14
pedestrian	4.95	4.61	4.81	5.10	4.52	23.99
truck	1.39	1.39	1.39	1.39	1.39	6.95
Total	14.26	14.06	14.42	13.62	17.65	74.01

[1] “ub”

osorno
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	11.84	11.40	12.47	10.66	10.87	57.24
cycle	1.57	5.13	1.44	1.37	1.43	10.94
motorcycle	3.76	3.49	3.55	3.53	20.38	34.71
pedestrian	9.65	8.99	9.34	10.06	8.84	46.88
truck	2.95	2.95	2.95	2.95	2.95	14.75
Total	29.77	31.96	29.75	28.57	44.47	164.52

[1] “lb”

osorno
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	4.00	3.86	4.22	3.57	3.69	19.34
cycle	0.02	0.08	0.02	0.02	0.02	0.16
motorcycle	0.26	0.24	0.25	0.25	1.42	2.42
pedestrian	2.60	2.42	2.54	2.65	2.37	12.58
truck	0.65	0.65	0.65	0.65	0.65	3.25
Total	7.53	7.25	7.68	7.14	8.15	37.75

[1] “puerto_montt” [1] NA

puerto_montt
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.25	0.24	0.28	0.23	1.26
car	3.85	3.73	4.01	3.53	3.61	18.73
cycle	0.26	2.38	0.23	0.24	0.25	3.36
motorcycle	0.51	0.48	0.48	0.46	5.73	7.66
pedestrian	7.57	7.03	7.25	7.80	6.99	36.64
truck	0.90	0.90	0.90	0.90	0.90	4.50
Total	13.35	14.77	13.11	13.21	17.71	72.15

[1] “ub”

puerto_montt
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.92	1.87	1.77	2.11	1.76	9.43
car	6.80	6.59	7.06	6.25	6.37	33.07
cycle	1.11	10.36	0.98	1.05	1.07	14.57
motorcycle	2.25	2.11	2.09	2.05	25.33	33.83
pedestrian	12.73	11.85	12.11	13.27	11.81	61.77
truck	1.91	1.91	1.91	1.91	1.91	9.55
Total	26.72	34.69	25.92	26.64	48.25	162.22

[1] “lb”

puerto_montt
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.03	0.03	0.03	0.04	0.03	0.16
car	2.25	2.18	2.35	2.06	2.12	10.96
cycle	0.06	0.55	0.05	0.06	0.06	0.78
motorcycle	0.13	0.12	0.12	0.12	1.46	1.95
pedestrian	4.82	4.47	4.65	4.92	4.45	23.31
truck	0.42	0.42	0.42	0.42	0.42	2.10
Total	7.71	7.77	7.62	7.62	8.54	39.26

[1] “san_antonio” [1] NA

san_antonio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	5.19	4.98	4.94	4.83	5.32	25.26
cycle	0.41	3.39	0.36	0.39	0.47	5.02
motorcycle	0.34	0.32	0.26	0.32	1.85	3.09
other	0.41	0.39	0.14	0.34	0.45	1.73
pedestrian	4.40	4.16	3.84	5.11	4.81	22.32
truck	2.06	2.06	2.06	2.06	2.06	10.30
Total	12.81	15.30	11.60	13.05	14.96	67.72

[1] “ub”

san_antonio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	31.09	29.70	29.03	28.77	36.80	155.39
cycle	6.01	48.88	5.01	5.64	7.64	73.18
motorcycle	4.05	3.79	3.10	3.82	23.79	38.55
other	5.05	4.89	2.12	4.14	6.08	22.28
pedestrian	29.37	27.77	25.34	33.98	36.92	153.38
truck	10.36	10.36	10.36	10.36	10.36	51.80
Total	85.93	125.39	74.96	86.71	121.59	494.58

[1] “lb”

san_antonio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	0.97	0.93	0.93	0.90	0.91	4.64
cycle	0.03	0.25	0.03	0.03	0.03	0.37
motorcycle	0.03	0.03	0.02	0.03	0.15	0.26
other	0.04	0.04	0.01	0.03	0.04	0.16
pedestrian	0.77	0.73	0.68	0.90	0.77	3.85
truck	0.43	0.43	0.43	0.43	0.43	2.15
Total	2.27	2.41	2.10	2.32	2.33	11.43

[1] “santiago” [1] NA

santiago
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.14	0.13	0.13	0.15	0.13	0.68
car	1.84	1.78	2.09	1.63	1.76	9.10
cycle	0.73	1.59	0.68	0.64	0.69	4.33
motorcycle	1.11	1.08	1.09	0.95	2.55	6.78
other	0.06	0.06	0.06	0.06	0.06	0.30
pedestrian	3.13	2.94	3.08	3.24	2.99	15.38
truck	0.19	0.19	0.20	0.19	0.19	0.96
Total	7.20	7.77	7.33	6.86	8.37	37.53

[1] “ub”

santiago
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.26	0.25	0.29	0.25	1.31
car	2.24	2.18	2.54	1.99	2.16	11.11
cycle	0.99	2.16	0.92	0.87	0.94	5.88
motorcycle	1.44	1.41	1.41	1.23	3.31	8.80
other	0.13	0.12	0.13	0.12	0.12	0.62
pedestrian	3.80	3.61	3.73	3.94	3.68	18.76
truck	0.34	0.34	0.35	0.34	0.34	1.71
Total	9.20	10.08	9.33	8.78	10.80	48.19

[1] “lb”

santiago
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.07	0.07	0.07	0.08	0.07	0.36
car	1.53	1.48	1.74	1.36	1.46	7.57
cycle	0.55	1.19	0.51	0.48	0.51	3.24
motorcycle	0.86	0.84	0.85	0.74	1.98	5.27
other	0.03	0.03	0.03	0.03	0.03	0.15
pedestrian	2.63	2.47	2.60	2.73	2.49	12.92
truck	0.11	0.11	0.11	0.11	0.11	0.55
Total	5.78	6.19	5.91	5.53	6.65	30.06

[1] “sao_paulo” [1] NA

sao_paulo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.12	0.11	0.11	0.13	0.12	0.59
car	1.98	1.92	2.30	1.69	2.01	9.90
cycle	0.45	2.66	0.42	0.40	0.49	4.42
motorcycle	5.11	4.95	4.85	4.12	11.54	30.57
other	0.02	0.02	0.02	0.01	0.02	0.09
pedestrian	4.71	4.44	4.60	4.68	5.27	23.70
truck	0.18	0.17	0.18	0.17	0.19	0.89
Total	12.57	14.27	12.48	11.20	19.64	70.16

[1] “ub”

sao_paulo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.18	0.17	0.17	0.20	0.18	0.90
car	2.20	2.13	2.54	1.87	2.24	10.98
cycle	0.56	3.29	0.51	0.49	0.61	5.46
motorcycle	5.51	5.37	5.22	4.45	12.44	32.99
other	0.04	0.03	0.04	0.03	0.04	0.18
pedestrian	5.12	4.87	4.99	5.09	5.75	25.82
truck	0.25	0.24	0.25	0.24	0.26	1.24
Total	13.86	16.10	13.72	12.37	21.52	77.57

[1] “lb”

sao_paulo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.08	0.07	0.07	0.09	0.08	0.39
car	1.80	1.73	2.08	1.53	1.81	8.95
cycle	0.37	2.15	0.34	0.32	0.40	3.58
motorcycle	4.75	4.59	4.51	3.83	10.72	28.40
other	0.01	0.01	0.01	0.01	0.01	0.05
pedestrian	4.35	4.09	4.25	4.32	4.84	21.85
truck	0.13	0.13	0.13	0.12	0.13	0.64
Total	11.49	12.77	11.39	10.22	17.99	63.86

[1] “temuco_padrelascasas” [1] NA

temuco_padrelascasas
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	3.08	2.98	3.33	2.59	2.85	14.83
cycle	0.79	1.39	0.74	0.66	0.73	4.31
motorcycle	0.70	0.67	0.67	0.57	2.87	5.48
pedestrian	3.52	3.25	3.52	3.65	3.26	17.20
truck	0.18	0.18	0.18	0.18	0.18	0.90
Total	8.27	8.47	8.44	7.65	9.89	42.72

[1] “ub”

temuco_padrelascasas
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	10.21	9.86	11.03	8.62	9.44	49.16
cycle	2.55	4.54	2.36	2.13	2.33	13.91
motorcycle	2.90	2.77	2.75	2.33	12.38	23.13
pedestrian	10.76	9.96	10.64	11.27	9.98	52.61
truck	1.04	1.04	1.04	1.04	1.04	5.20
Total	27.46	28.17	27.82	25.39	35.17	144.01

[1] “lb”

temuco_padrelascasas
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	0.99	0.95	1.07	0.83	0.91	4.75
cycle	0.26	0.45	0.24	0.21	0.24	1.40
motorcycle	0.18	0.17	0.17	0.15	0.70	1.37
pedestrian	1.27	1.17	1.28	1.31	1.17	6.20
truck	0.03	0.03	0.03	0.03	0.03	0.15
Total	2.73	2.77	2.79	2.53	3.05	13.87

[1] “valdivia” [1] NA

valdivia
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.36	0.34	0.31	0.43	0.33	1.77
car	2.75	2.65	2.87	2.40	2.53	13.20
cycle	0.81	1.60	0.73	0.74	0.74	4.62
motorcycle	0.57	0.52	0.54	0.55	2.23	4.41
pedestrian	2.01	1.89	1.83	2.27	1.89	9.89
Total	6.50	7.00	6.28	6.39	7.72	33.89

[1] “ub”

valdivia
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	2.81	2.68	2.40	3.48	2.56	13.93
car	16.28	15.64	16.84	14.21	14.99	77.96
cycle	6.16	12.80	5.58	5.66	5.68	35.88
motorcycle	5.27	4.73	5.05	5.03	22.83	42.91
pedestrian	10.50	9.82	9.57	11.75	9.84	51.48
Total	41.02	45.67	39.44	40.13	55.90	222.16

[1] “lb”

valdivia
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.06	0.05	0.05	0.07	0.05	0.28
car	0.53	0.51	0.55	0.46	0.48	2.53
cycle	0.12	0.23	0.11	0.11	0.11	0.68
motorcycle	0.08	0.07	0.07	0.07	0.27	0.56
pedestrian	0.41	0.39	0.38	0.47	0.39	2.04
Total	1.20	1.25	1.16	1.18	1.30	6.09

[1] “accra” [1] NA

accra
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.90	0.88	0.88	0.96	0.87	4.49
car	1.95	1.88	2.24	1.50	1.94	9.51
cycle	0.72	3.49	0.70	0.52	0.71	6.14
motorcycle	2.02	1.99	1.93	1.41	4.99	12.34
pedestrian	9.84	9.13	9.86	8.66	9.82	47.31
truck	0.43	0.43	0.43	0.42	0.43	2.14
Total	15.86	17.80	16.04	13.47	18.76	81.93

[1] “ub”

accra
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.30	1.28	1.26	1.37	1.25	6.46
car	2.54	2.49	2.92	1.95	2.55	12.45
cycle	0.98	4.76	0.95	0.71	0.97	8.37
motorcycle	2.61	2.61	2.48	1.82	6.45	15.97
pedestrian	11.45	10.87	11.40	10.11	11.58	55.41
truck	0.71	0.71	0.72	0.69	0.72	3.55
Total	19.59	22.72	19.73	16.65	23.52	102.21

[1] “lb”

accra
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.63	0.61	0.61	0.67	0.60	3.12
car	1.51	1.45	1.73	1.16	1.49	7.34
cycle	0.53	2.57	0.52	0.38	0.51	4.51
motorcycle	1.58	1.55	1.51	1.09	3.89	9.62
pedestrian	8.59	7.94	8.64	7.54	8.46	41.17
truck	0.27	0.27	0.27	0.27	0.27	1.35
Total	13.11	14.39	13.28	11.11	15.22	67.11

[1] “bangalore” [1] NA

bangalore
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.25	0.24	0.24	0.29	0.21	1.23
car	0.51	0.50	0.85	0.46	0.44	2.76
cycle	0.39	0.86	0.41	0.35	0.33	2.34
motorcycle	6.14	5.94	6.80	5.59	6.26	30.73
other	0.25	0.23	0.26	0.22	0.21	1.17
pedestrian	6.06	5.71	6.69	6.27	5.55	30.28
truck	0.20	0.20	0.20	0.20	0.20	1.00
Total	13.80	13.68	15.45	13.38	13.20	69.51

[1] “ub”

bangalore
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.56	0.54	0.56	0.65	0.48	2.79
car	0.92	0.90	1.52	0.82	0.78	4.94
cycle	0.63	1.40	0.67	0.57	0.54	3.81
motorcycle	7.61	7.44	8.38	6.94	7.76	38.13
other	0.56	0.54	0.59	0.51	0.49	2.69
pedestrian	7.45	7.09	8.21	7.72	6.82	37.29
truck	0.39	0.39	0.39	0.39	0.39	1.95
Total	18.12	18.30	20.32	17.60	17.26	91.60

[1] “lb”

bangalore
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.11	0.11	0.11	0.14	0.10	0.57
car	0.29	0.28	0.48	0.26	0.25	1.56
cycle	0.24	0.53	0.25	0.22	0.21	1.45
motorcycle	5.01	4.84	5.57	4.56	5.11	25.09
other	0.12	0.11	0.12	0.10	0.10	0.55
pedestrian	4.98	4.68	5.50	5.15	4.56	24.87
truck	0.11	0.11	0.11	0.11	0.11	0.55
Total	10.86	10.66	12.14	10.54	10.44	54.64

[1] “cape_town” [1] NA

cape_town
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.76	0.76	0.75	0.82	0.75	3.84
car	7.03	7.03	7.68	6.23	7.19	35.16
cycle	0.29	3.90	0.26	0.26	0.29	5.00
motorcycle	1.78	1.78	1.66	1.61	13.07	19.90
other	0.08	0.07	0.07	0.07	0.08	0.37
pedestrian	12.39	12.06	12.14	11.45	12.41	60.45
truck	0.23	0.24	0.25	0.22	0.25	1.19
Total	22.56	25.84	22.81	20.66	34.04	125.91

[1] “ub”

cape_town
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.00	1.02	0.98	1.09	1.00	5.09
car	7.81	8.01	8.51	6.93	8.16	39.42
cycle	0.40	5.45	0.36	0.37	0.41	6.99
motorcycle	2.12	2.17	1.98	1.93	15.62	23.82
other	0.14	0.14	0.13	0.13	0.15	0.69
pedestrian	13.50	13.51	13.17	12.52	13.86	66.56
truck	0.39	0.40	0.41	0.36	0.41	1.97
Total	25.36	30.70	25.54	23.33	39.61	144.54

[1] “lb”

cape_town
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.58	0.57	0.57	0.62	0.57	2.91
car	6.36	6.28	6.95	5.63	6.39	31.61
cycle	0.21	2.79	0.19	0.19	0.20	3.58
motorcycle	1.51	1.49	1.42	1.36	11.09	16.87
other	0.04	0.04	0.04	0.04	0.04	0.20
pedestrian	11.43	10.97	11.24	10.52	11.21	55.37
truck	0.16	0.16	0.17	0.15	0.16	0.80
Total	20.29	22.30	20.58	18.51	29.66	111.34

[1] “delhi” [1] NA

delhi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.06	0.06	0.06	0.08	0.06	0.32
car	1.05	1.03	1.20	0.94	0.95	5.17
cycle	0.86	1.53	0.82	0.74	0.77	4.72
motorcycle	6.43	6.13	6.35	5.52	7.71	32.14
pedestrian	7.37	6.98	7.29	7.08	6.80	35.52
truck	0.42	0.42	0.43	0.41	0.42	2.10
Total	16.19	16.15	16.15	14.77	16.71	79.97

[1] “ub”

delhi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.12	0.12	0.15	0.11	0.63
car	1.24	1.22	1.42	1.12	1.13	6.13
cycle	1.00	1.77	0.94	0.86	0.89	5.46
motorcycle	6.96	6.64	6.87	5.99	8.35	34.81
pedestrian	7.96	7.54	7.87	7.66	7.36	38.39
truck	0.55	0.55	0.57	0.54	0.55	2.76
Total	17.84	17.84	17.79	16.32	18.39	88.18

[1] “lb”

delhi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.03	0.03	0.03	0.04	0.03	0.16
car	0.88	0.87	1.01	0.79	0.80	4.35
cycle	0.75	1.33	0.71	0.64	0.67	4.10
motorcycle	5.94	5.66	5.87	5.09	7.12	29.68
pedestrian	6.83	6.48	6.78	6.57	6.30	32.96
truck	0.32	0.32	0.33	0.32	0.32	1.61
Total	14.75	14.69	14.73	13.45	15.24	72.86

[1] “vizag” [1] NA

vizag
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.25	0.25	0.30	0.23	1.29
car	0.63	0.59	2.23	0.46	0.56	4.47
cycle	1.24	2.69	1.64	0.89	1.23	7.69
motorcycle	9.15	8.70	12.01	6.79	12.59	49.24
other	0.16	0.15	0.20	0.11	0.13	0.75
pedestrian	9.06	8.37	12.31	8.12	9.53	47.39
truck	0.56	0.55	0.60	0.55	0.57	2.83
Total	21.06	21.30	29.24	17.22	24.84	113.66

[1] “ub”

vizag
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.59	0.56	0.61	0.66	0.54	2.96
car	1.05	0.99	3.74	0.77	0.94	7.49
cycle	1.65	3.59	2.19	1.19	1.64	10.26
motorcycle	10.74	10.22	14.19	7.97	14.76	57.88
other	0.33	0.32	0.42	0.22	0.27	1.56
pedestrian	10.74	9.92	14.62	9.64	11.27	56.19
truck	0.94	0.94	1.08	0.91	0.98	4.85
Total	26.04	26.54	36.85	21.36	30.40	141.19

[1] “lb”

vizag
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.14	0.13	0.13	0.16	0.12	0.68
car	0.37	0.35	1.33	0.27	0.33	2.65
cycle	0.93	2.02	1.22	0.67	0.92	5.76
motorcycle	7.79	7.42	10.18	5.78	10.74	41.91
other	0.08	0.07	0.10	0.05	0.06	0.36
pedestrian	7.73	7.14	10.44	6.92	8.15	40.38
truck	0.35	0.35	0.36	0.34	0.35	1.75
Total	17.39	17.48	23.76	14.19	20.67	93.49

[1] “kisumu” [1] NA

kisumu
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	3.28	3.08	3.48	3.73	2.65	16.22
car	0.86	0.82	1.52	0.65	0.73	4.58
cycle	0.69	1.36	0.76	0.62	0.61	4.04
motorcycle	13.12	12.15	13.90	10.33	14.79	64.29
other	1.21	1.19	0.68	0.93	1.06	5.07
pedestrian	6.56	6.12	7.31	6.32	5.86	32.17
truck	0.17	0.17	0.17	0.17	0.17	0.85
Total	25.89	24.89	27.82	22.75	25.87	127.22

[1] “ub”

kisumu
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	6.83	6.41	7.03	7.82	5.56	33.65
car	3.29	3.13	5.82	2.45	2.80	17.49
cycle	2.01	3.96	2.19	1.81	1.80	11.77
motorcycle	18.79	17.35	19.90	14.84	21.05	91.93
other	2.81	2.75	1.57	2.15	2.47	11.75
pedestrian	10.57	9.82	11.66	10.15	9.50	51.70
truck	1.28	1.28	1.28	1.28	1.28	6.40
Total	45.58	44.70	49.45	40.50	44.46	224.69

[1] “lb”

kisumu
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.83	1.72	1.95	2.08	1.46	9.04
car	0.26	0.25	0.47	0.20	0.22	1.40
cycle	0.24	0.48	0.26	0.22	0.21	1.41
motorcycle	9.45	8.76	9.96	7.42	10.71	46.30
other	0.53	0.52	0.30	0.41	0.46	2.22
pedestrian	4.24	3.97	4.74	4.10	3.78	20.83
truck	0.02	0.02	0.02	0.02	0.02	0.10
Total	16.57	15.72	17.70	14.45	16.86	81.30

[1] “nairobi” [1] NA

nairobi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.03	1.00	1.04	1.03	0.97	5.07
car	2.12	2.09	2.48	1.85	2.02	10.56
cycle	0.30	0.89	0.30	0.25	0.28	2.02
motorcycle	4.88	4.71	4.85	4.13	7.49	26.06
other	0.27	0.27	0.26	0.23	0.26	1.29
pedestrian	13.85	13.07	13.89	12.97	12.94	66.72
truck	0.15	0.15	0.15	0.15	0.15	0.75
Total	22.60	22.18	22.97	20.61	24.11	112.47

[1] “ub”

nairobi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.70	1.67	1.70	1.71	1.61	8.39
car	3.06	3.05	3.57	2.66	2.92	15.26
cycle	0.58	1.71	0.58	0.49	0.54	3.90
motorcycle	6.18	6.05	6.12	5.24	9.48	33.07
other	0.54	0.54	0.52	0.45	0.51	2.56
pedestrian	16.43	15.71	16.41	15.37	15.42	79.34
truck	0.37	0.37	0.37	0.37	0.37	1.85
Total	28.86	29.10	29.27	26.29	30.85	144.37

[1] “lb”

nairobi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.64	0.62	0.65	0.64	0.60	3.15
car	1.49	1.46	1.74	1.30	1.41	7.40
cycle	0.16	0.47	0.16	0.13	0.15	1.07
motorcycle	3.96	3.82	3.94	3.35	6.08	21.15
other	0.14	0.14	0.13	0.11	0.13	0.65
pedestrian	11.84	11.14	11.89	11.09	11.01	56.97
truck	0.06	0.06	0.06	0.06	0.06	0.30
Total	18.29	17.71	18.57	16.68	19.44	90.69

[1] “port_louis” [1] NA

port_louis
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.89	0.82	0.81	0.95	0.86	4.33
cycle	2.37	15.13	2.06	1.96	1.94	23.46
motorcycle	18.10	16.30	16.71	15.21	24.14	90.46
pedestrian	13.06	11.79	12.72	12.41	12.92	62.90
truck	1.48	1.45	1.51	1.43	1.52	7.39
Total	35.90	45.49	33.81	31.96	41.38	188.54

[1] “ub”

port_louis
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	3.12	2.86	2.83	3.35	3.00	15.16
cycle	6.95	44.31	6.10	5.76	5.76	68.88
motorcycle	31.12	27.98	28.66	26.15	41.58	155.49
pedestrian	23.35	21.14	22.68	22.36	23.02	112.55
truck	5.59	5.45	5.70	5.34	5.77	27.85
Total	70.13	101.74	65.97	62.96	79.13	379.93

[1] “lb”

port_louis
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.25	0.23	0.23	0.27	0.25	1.23
cycle	0.83	5.29	0.72	0.69	0.67	8.20
motorcycle	10.67	9.62	9.86	8.97	14.21	53.33
pedestrian	7.36	6.63	7.20	6.95	7.32	35.46
truck	0.40	0.39	0.41	0.39	0.41	2.00
Total	19.51	22.16	18.42	17.27	22.86	100.22

True distances in a single file

Change in deaths due to injury per 100 million hours

[1] NA

antofagasta mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	17.3949	5.0397959	17.0459	4.628798	18.3903	5.0443569	16.3942	5.2751424	16.6019	4.6379445
car	18.0977	9.6214286	18.1301	9.326163	16.8767	10.2700814	18.5788	8.3556704	18.2362	8.9139517
cycle	44.6070	0.2290816	20.7840	2.050156	46.4458	0.2198768	41.3525	0.1919912	41.7780	0.2084534
motorcycle	64.7751	2.2908163	64.0357	2.116976	67.9352	2.1999485	62.9735	2.1155867	84.2587	10.5725083
truck	9.2946	2.2908163	9.2683	2.284347	9.3518	2.3049236	9.1969	2.2667411	9.2353	2.2762111
bus	2.5825	1.3744898	2.5896	1.331324	2.6426	1.2318724	2.5276	1.5703302	2.6339	1.2852259

[1] “ub”

antofagasta ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	60.6215	17.563730	59.5457	16.169634	63.8054	17.501498	57.2586	18.424069	58.0411	16.214517
car	52.6003	27.964271	52.6145	27.065013	48.9564	29.791653	54.1372	24.347755	52.8981	25.856843
cycle	415.3154	2.132873	208.5329	20.569883	433.5607	2.052498	385.6944	1.790702	389.9040	1.945445
motorcycle	252.9739	8.946600	250.9327	8.295659	265.9025	8.610739	244.5564	8.215838	323.7987	40.629205
truck	34.5167	8.507286	34.2528	8.442252	35.0573	8.640533	33.5783	8.276001	33.9244	8.361309
bus	8.5482	4.549664	8.5788	4.410376	8.7503	4.078953	8.3641	5.196341	8.7143	4.252246

[1] “lb”

antofagasta lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	5.6326	1.6319123	5.5099	1.4962116	5.9862	1.6419735	5.2885	1.7016649	5.3616	1.4978403
car	6.6819	3.5523456	6.7017	3.4473688	6.2409	3.7977964	6.8431	3.0776449	6.7421	3.2955622
cycle	4.8838	0.0250812	2.1536	0.2124290	5.0765	0.0240322	4.5210	0.0209899	4.5660	0.0227825
motorcycle	17.9134	0.6335193	17.6712	0.5841992	18.7891	0.6084477	17.4532	0.5863363	23.1897	2.9097674
truck	2.9136	0.7181110	2.9108	0.7174205	2.9200	0.7196949	2.9028	0.7154435	2.9072	0.7165445
bus	0.7978	0.4246296	0.7994	0.4109473	0.8160	0.3803675	0.7804	0.4848097	0.8141	0.3972693

[1] NA

arica mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	42.6358	10.5377551	41.7257	9.7930743	44.2826	10.3712602	39.2219	10.6071792	40.1512	9.6651348
car	32.9255	9.3923469	33.2139	8.9745179	29.0722	9.9726964	34.0661	8.1702794	33.1253	8.5574484
cycle	46.4285	1.1454082	37.1044	3.5279830	48.3847	1.1030689	44.3687	0.9883559	44.1621	0.9997114
motorcycle	74.9652	2.0617347	74.7369	1.9184218	77.5343	1.9297619	72.1057	1.9413611	112.7985	10.2611963
truck	17.6724	2.5198980	17.6103	2.5110386	17.7387	2.5293405	17.5305	2.4996541	17.5423	2.5013479
bus	2.8554	0.4581633	2.8357	0.4312669	3.0387	0.3785155	2.5369	0.5704910	2.8407	0.3900131

[1] “ub”

arica ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	75.2042	18.587264	73.8740	17.338292	77.2177	18.084861	70.8419	19.158504	71.2392	17.148577
car	53.6847	15.314118	54.0840	14.613706	47.1791	16.183965	55.9742	13.424635	53.7755	13.892146
cycle	124.3076	3.066712	99.4321	9.454270	128.8287	2.937023	120.1335	2.676087	118.3118	2.678259
motorcycle	200.1722	5.505245	199.3612	5.117406	206.8103	5.147329	192.8470	5.192175	300.3760	27.324969
truck	42.5480	6.066891	42.0782	5.999894	43.0087	6.132578	41.5461	5.924019	41.5538	5.925117
bus	21.4407	3.440297	21.2950	3.238663	22.8181	2.842341	19.0511	4.284148	21.3312	2.928691

[1] “lb”

arica lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	26.3628	6.5157494	25.7428	6.0418635	27.6173	6.4681370	23.8177	6.4412771	24.7528	5.9584531
car	21.0241	5.9973277	21.2264	5.7354684	18.6210	6.3876152	21.6415	5.1904007	21.2122	5.4798636
cycle	17.5138	0.4320718	13.9844	1.3296723	18.3392	0.4180963	16.5723	0.3691648	16.6463	0.3768270
motorcycle	28.4145	0.7814724	28.3563	0.7278789	29.4014	0.7317757	27.3186	0.7355195	42.8629	3.8992023
truck	8.7460	1.2470910	8.7378	1.2459167	8.7554	1.2484315	8.7261	1.2442489	8.7290	1.2446553
bus	0.3807	0.0610821	0.3780	0.0574913	0.4051	0.0504615	0.3382	0.0760520	0.3787	0.0519946

[1] NA

belo_horizonte mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	20.6943	94.0809950	20.8598	91.6961065	19.8140	104.8428430	21.4826	84.8526889	21.5215	90.8782542
pedestrian	49.7436	167.2877693	49.9927	159.6150879	49.9215	156.7797164	49.3868	174.8993747	52.7365	170.3136347
motorcycle	96.5781	131.2723884	96.7713	129.1402955	98.7589	120.7357151	100.7249	120.3699349	89.6011	179.5232516
cycle	108.3245	14.9941586	85.6897	64.6578301	110.7089	13.1267860	110.2783	13.8203744	112.5123	14.6420211
other	73.2054	51.7445473	73.5618	50.4780934	74.6059	46.4065241	74.8996	45.3302782	74.1258	48.9944901
truck	2.5416	7.2030762	2.5393	7.1966518	2.5360	7.1872046	2.5426	7.2058693	2.5836	7.3221071
bus	0.9731	5.1450544	0.9777	5.0550723	0.9990	4.6962287	0.9148	5.9912962	1.0070	4.9296170
rail	0.3230	0.1470016	0.3239	0.1448435	0.3278	0.1336762	0.3230	0.1470016	0.3265	0.1374755

[1] “ub”

belo_horizonte ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	23.4810	106.750038	23.7774	104.521401	22.4379	118.726648	24.3910	96.340418	24.4645	103.305583
pedestrian	55.8588	187.853050	56.8504	181.509942	55.9525	175.720147	55.3868	196.147830	59.2576	191.373654
motorcycle	109.3707	148.660571	110.6506	147.661953	111.6937	136.548902	113.9938	136.226758	101.4568	203.277047
cycle	147.8240	20.461650	116.9150	88.219124	151.0145	17.905830	150.4603	18.856095	153.5965	19.988599
other	84.3098	59.593601	84.7444	58.151621	85.9053	53.434981	86.2613	52.206516	85.4718	56.493805
truck	3.9306	11.139633	3.9345	11.150817	3.9197	11.108881	3.9318	11.142931	4.0045	11.349087
bus	1.6165	8.546836	1.6277	8.416077	1.6641	7.822892	1.5078	9.874984	1.6871	8.258978
rail	2.8034	1.275719	2.8110	1.256990	2.8450	1.160078	2.8034	1.275719	2.8335	1.193049

[1] “lb”

belo_horizonte lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	18.3060	83.223222	18.4038	80.8998498	17.5580	92.9054180	18.9889	75.002741	19.0015	80.2370112
pedestrian	44.5581	149.848802	44.4367	141.8759818	44.7804	140.6339719	44.2834	156.826060	47.1814	152.3733031
motorcycle	85.6537	116.423576	85.3199	113.8584154	87.6637	107.1714712	89.3625	106.791472	79.4713	159.2273704
cycle	79.4725	11.000506	62.8765	47.4439717	81.2488	9.6336895	80.9175	10.140806	82.5080	10.7373559
other	64.1162	45.319972	64.4240	44.2077658	65.3506	40.6495319	65.5994	39.701678	64.8717	42.8778618
truck	1.6580	4.698986	1.6548	4.6897863	1.6551	4.6906959	1.6587	4.700969	1.6819	4.7665365
bus	0.6026	3.186333	0.6048	3.1271696	0.6173	2.9017843	0.5700	3.733052	0.6194	3.0323132
rail	0.0372	0.016939	0.0373	0.0166904	0.0378	0.0154036	0.0372	0.016939	0.0376	0.0158414

[1] NA

bogota mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	6.8238	20.707117	6.8440	20.223046	6.4773	23.160916	7.0322	18.005502	7.0655	19.920139
pedestrian	40.1758	166.992877	40.2379	157.727596	40.9571	158.884025	38.8934	163.314089	42.0887	165.318409
cycle	100.8657	63.011979	80.6980	92.555370	102.8656	59.269392	99.5286	54.307144	105.9978	61.118033
motorcycle	142.6302	195.270338	142.4621	191.572120	147.2688	188.956334	145.4298	165.892543	122.9984	236.205298
truck	0.7701	1.558600	0.7678	1.552663	0.7726	1.563682	0.7594	1.536887	0.7816	1.581798
bus	1.0381	7.347687	1.0405	7.189438	1.0577	6.922504	0.9888	8.332384	1.0643	7.044490

[1] “ub”

bogota ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	10.6502	32.318499	10.6876	31.58047	10.0770	36.032632	10.9722	28.093569	11.0244	31.081491
pedestrian	50.1385	208.403248	50.3407	197.32943	51.0748	198.133764	48.5259	203.761102	52.5371	206.358363
cycle	129.4122	80.845290	104.3260	119.65515	131.9237	76.012199	127.8136	69.740655	135.9358	78.380194
motorcycle	180.3113	246.858174	180.5694	242.81598	185.8573	238.468150	183.9644	209.849222	156.5546	300.646211
truck	2.3795	4.815833	2.3706	4.79364	2.3898	4.836738	2.3347	4.725156	2.4276	4.912867
bus	1.8521	13.109280	1.8567	12.82911	1.8897	12.367584	1.7613	14.842484	1.9055	12.612433

[1] “lb”

bogota lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	4.4188	13.4090654	4.4300	13.0900062	4.2074	15.0444961	4.5548	11.6622879	4.5753	12.899233
pedestrian	32.3629	134.5181879	32.3521	126.8162946	33.0144	128.0720895	31.3396	131.5954985	33.8879	133.106772
cycle	79.1795	49.4643663	62.9251	72.1709873	80.7816	46.5449711	78.0743	42.6007160	83.2232	47.986262
motorcycle	113.8443	155.8604047	113.4751	152.5925938	117.7209	151.0442107	116.0041	132.3264916	97.6149	187.458930
truck	0.2607	0.5275558	0.2601	0.5259449	0.2613	0.5287904	0.2581	0.5223553	0.2634	0.533092
bus	0.5932	4.1986840	0.5946	4.1080556	0.6037	3.9509203	0.5657	4.7670812	0.6063	4.012876

[1] NA

buenos_aires mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	111.7328	251.388194	110.9234	237.238050	116.6334	245.152800	102.9671	244.617122	137.4800	293.231264
car	47.2257	85.488915	47.3479	82.985725	44.7110	102.740472	49.3642	69.196428	51.5467	85.819325
cycle	74.0978	15.235648	63.4961	34.766165	76.8499	14.501969	71.5877	13.109952	87.7472	17.016009
motorcycle	674.2159	207.374100	667.4162	201.387606	717.1255	199.817431	705.0904	157.683870	577.2727	402.456587
truck	2.5026	2.539275	2.5026	2.539275	2.5026	2.539275	2.5026	2.539275	2.5026	2.539275
bus	1.1910	3.385700	1.1976	3.278905	1.2106	3.104124	1.1290	4.131322	1.2067	3.153495

[1] “ub”

buenos_aires ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	141.9960	319.477708	142.9082	305.645609	147.5772	310.193953	130.9247	311.035603	175.0190	373.298192
car	64.7760	117.258836	65.1457	114.179427	61.1004	140.401251	67.6924	94.888022	71.8671	119.650511
cycle	158.2112	32.530664	135.8961	74.407496	163.4195	30.838078	153.9443	28.192048	184.0823	35.697401
motorcycle	872.2537	268.286210	874.8049	263.965514	923.8152	257.408735	912.9440	204.167491	747.7302	521.294254
truck	9.0588	9.191765	9.0588	9.191765	9.0588	9.191765	9.0588	9.191765	9.0588	9.191765
bus	3.6287	10.315435	3.6489	9.990058	3.6884	9.457539	3.4397	12.587173	3.6766	9.607962

[1] “lb”

buenos_aires lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	89.1068	200.4818625	87.9344	188.0700397	93.3272	196.1653188	82.1190	195.0887267	109.1349	232.7738931
car	35.0034	63.3638218	35.0651	61.4577982	33.2397	76.3807083	36.5921	51.2930783	37.6580	62.6963277
cycle	36.2429	7.4521081	30.9991	16.9730261	37.7168	7.1173454	34.8257	6.3776869	43.4605	8.4279017
motorcycle	527.8769	162.3634361	519.4750	156.7474939	563.2136	156.9319371	551.4437	123.3228790	451.4192	314.7154605
truck	0.6913	0.7014883	0.6913	0.7014883	0.6913	0.7014883	0.6913	0.7014883	0.6913	0.7014883
bus	0.3909	1.1112437	0.3931	1.0761920	0.3973	1.0188257	0.3705	1.3559696	0.3961	1.0350302

[1] NA

cali mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	69.8878	87.9495819	69.3487	82.8320213	71.0654	83.8934621	66.2972	84.3205144	71.7264	84.6449065
motorcycle	70.6241	153.3551254	70.7238	148.8021154	74.5371	150.7946093	72.6878	137.4659883	67.7286	161.4660941
cycle	102.3048	28.9454320	92.1255	52.2167012	104.9552	26.7896305	99.0742	25.0053467	105.3279	27.8381844
other	66.7710	0.2783215	67.1003	0.2601007	65.9279	0.2182577	61.5391	0.1924974	69.5604	0.2645591
car	8.3144	11.1328585	8.2938	10.8475721	7.5384	12.7977271	8.4057	10.0156893	8.5189	10.4923566
bus	0.1400	0.2783215	0.1404	0.2739747	0.1415	0.2600644	0.1297	0.3783842	0.1421	0.2566094

[1] “ub”

cali ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	84.1714	105.924644	83.9646	100.289604	85.4478	100.872022	80.0691	101.836343	86.1464	101.662094
motorcycle	83.4710	181.251265	84.0374	176.813818	87.7662	177.558265	85.9541	162.554948	79.9811	190.676275
cycle	136.6638	38.666758	123.1834	69.820315	140.0048	35.735966	132.8932	33.540941	140.3546	37.095749
other	497.1337	2.072202	500.0252	1.938248	490.6509	1.624324	458.2285	1.433362	517.7011	1.968973
car	12.9920	17.396195	12.9634	16.955106	11.7396	19.930018	13.1111	15.622335	13.3432	16.434299
bus	1.0343	2.056513	1.0371	2.024395	1.0457	1.921612	0.9581	2.795875	1.0503	1.896083

[1] “lb”

cali lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	58.6584	73.8180712	58.0119	69.2909893	59.6620	70.4315232	55.4457	70.5189102	60.3258	71.1910118
motorcycle	60.5031	131.3781462	60.3900	127.0599093	63.9718	129.4202529	62.1441	117.5257808	58.0543	138.4024770
cycle	78.8129	22.2988070	70.9267	40.2012183	80.8756	20.6433427	76.0300	19.1892263	81.2826	21.4829992
other	8.9772	0.0374199	9.0142	0.0349417	8.8660	0.0293514	8.2717	0.0258744	9.3552	0.0355805
car	5.4129	7.2478923	5.4002	7.0630735	4.9211	8.3543535	5.4802	6.5298246	5.5334	6.8153264
bus	0.0189	0.0376671	0.0190	0.0370788	0.0192	0.0351962	0.0175	0.0512092	0.0192	0.0347286

[1] NA

copiapo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
cycle	100.3872	1.1454082	75.0357	5.7615960	101.8598	1.0804167	99.8012	1.1022943	119.1621	1.3139593
pedestrian	12.5971	2.5198980	12.3907	2.3537704	12.6288	2.4185891	12.2167	2.7296321	14.9317	2.8950551
car	14.1296	5.0397959	14.1616	4.8702823	12.6953	5.2371287	14.6368	4.4590856	14.6417	4.7296500
motorcycle	97.5116	2.5198980	97.3531	2.3308439	99.2911	2.2751969	97.5770	2.4664082	147.2495	13.5711721
truck	5.3253	0.9163265	5.2790	0.9083453	5.3181	0.9150758	5.2984	0.9116871	5.6562	0.9732552
bus	3.9393	0.6872449	3.9642	0.6648022	4.0525	0.5909760	3.7425	0.9113077	4.0074	0.6276014

[1] “ub”

copiapo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
cycle	322.3291	3.677742	240.2087	18.444365	322.1322	3.416824	325.7586	3.597972	512.5455	5.651660
pedestrian	32.7235	6.545953	32.0750	6.093046	32.2110	6.168842	32.3842	7.235734	54.3610	10.539839
car	26.6307	9.498753	26.5876	9.143670	23.6692	9.764101	28.0409	8.542655	31.8940	10.302586
motorcycle	257.1913	6.646346	256.9138	6.151075	260.4957	5.969102	260.8136	6.592466	388.8502	35.838165
truck	23.9335	4.118219	23.5208	4.047205	23.7442	4.085641	23.8489	4.103650	30.1188	5.182504
bus	12.4997	2.180678	12.5787	2.109466	12.8590	1.875210	11.8751	2.891646	12.7158	1.991425

[1] “lb”

copiapo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
cycle	33.6459	0.3838968	25.1693	1.9326183	34.4739	0.3656613	32.9020	0.3633991	34.6309	0.3818630
pedestrian	5.3419	1.0685802	5.2581	0.9988404	5.4167	1.0373746	5.0767	1.1343083	5.4336	1.0534972
car	8.7921	3.1359858	8.8177	3.0324756	7.9159	3.2655080	9.0737	2.7643056	8.9392	2.8876043
motorcycle	37.3862	0.9661356	37.2982	0.8930006	38.2494	0.8764620	36.9574	0.9341558	56.3598	5.1943686
truck	1.4225	0.2447742	1.4170	0.2438199	1.4230	0.2448602	1.4172	0.2438479	1.4363	0.2471499
bus	1.2415	0.2165866	1.2493	0.2095137	1.2772	0.1862472	1.1794	0.2872004	1.2629	0.1977898

[1] NA

coquimbo_laserena mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	22.2518	9.6214286	21.9618	8.9297239	23.0871	9.3891400	20.5299	9.4550220	21.1434	8.7283094
car	21.5976	13.9739796	21.6691	13.5079552	19.8097	14.6616340	22.6626	12.4696939	21.9793	12.8100186
cycle	71.8376	1.3744898	55.7814	6.2272429	75.6049	1.2699582	67.8560	1.2301981	68.5855	1.2454277
motorcycle	141.0062	5.7270408	140.7829	5.5311996	146.3244	5.3677313	130.8203	4.9106912	215.6394	35.1551289
truck	3.1307	0.9163265	3.1307	0.9163265	3.1307	0.9163265	3.1307	0.9163265	3.1307	0.9163265
bus	2.8647	1.3744898	2.8540	1.3344701	2.9614	1.2456265	2.6549	1.6098838	2.8453	1.2648078

[1] “ub”

coquimbo_laserena ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	35.2171	15.227507	34.8063	14.152346	36.3417	14.779583	32.8823	15.143879	33.5437	13.847303
car	32.9300	21.306214	33.0187	20.583026	30.1348	22.303524	34.6991	19.092578	33.4262	19.481557
cycle	174.8921	3.346263	135.9017	15.171594	183.5113	3.082495	166.2995	3.014935	167.1808	3.035794
motorcycle	265.6494	10.789487	265.5599	10.433550	274.6859	10.076516	248.3812	9.323657	407.3231	66.404824
truck	8.5100	2.490834	8.5100	2.490834	8.5100	2.490834	8.5100	2.490834	8.5100	2.490834
bus	9.2528	4.439558	9.1987	4.301127	9.6013	4.038466	8.5033	5.156306	9.1383	4.062173

[1] “lb”

coquimbo_laserena lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	14.3327	6.1972966	14.1275	5.7442922	14.9374	6.0747789	13.0914	6.0292156	13.5862	5.6085599
car	14.5031	9.3837495	14.5578	9.0749359	13.3246	9.8618657	15.1721	8.3481588	14.7881	8.6188441
cycle	29.6959	0.5681807	23.0425	2.5723842	31.3365	0.5263679	27.8838	0.5055214	28.3166	0.5141945
motorcycle	75.7168	3.0752773	75.4985	2.9662497	78.8380	2.8920747	69.7259	2.6173492	115.4668	18.8242474
truck	1.1517	0.3370977	1.1517	0.3370977	1.1517	0.3370977	1.1517	0.3370977	1.1517	0.3370977
bus	0.9274	0.4449853	0.9257	0.4328514	0.9556	0.4019214	0.8659	0.5250614	0.9258	0.4115219

[1] NA

gran_valparaiso mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	10.1909	14.6612245	10.3969	14.4150985	9.3256	15.8223745	10.9705	12.9965649	10.5303	13.8730445
pedestrian	18.2185	18.5556123	18.3360	17.7083593	19.0993	18.2633727	16.9726	18.7495175	17.8994	17.5234414
cycle	12.5236	0.4581633	8.8503	2.2115398	13.2419	0.4417639	12.2345	0.3815613	12.3608	0.4168820
other	29.4981	0.2290816	29.6106	0.2240654	31.2315	0.2177112	27.8557	0.2097183	29.1311	0.2069330
motorcycle	221.0877	5.9561225	221.6746	5.8279942	233.5870	5.1801596	227.3696	4.6460154	156.2287	35.6284625
truck	2.7677	2.7489796	2.7677	2.7489796	2.7677	2.7489796	2.7677	2.7489796	2.7677	2.7489796
bus	0.2249	0.4581633	0.2271	0.4438406	0.2386	0.4253276	0.2028	0.5076025	0.2262	0.4256562

[1] “ub”

gran_valparaiso ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	15.8908	22.861440	17.5758	24.368455	14.4220	24.469299	17.0064	20.147132	18.3778	24.211554
pedestrian	28.9743	29.510451	32.0095	30.913814	29.8525	28.545873	27.1369	29.977951	32.6190	31.933964
cycle	53.9121	1.972319	38.1133	9.523874	56.7315	1.892620	52.6968	1.643476	56.7424	1.913695
other	226.9588	1.762558	235.0041	1.778290	239.2739	1.667953	214.2872	1.613311	234.6050	1.666518
motorcycle	408.9693	11.017671	431.7872	11.352016	429.7863	9.531188	421.8221	8.619409	289.2477	65.963864
truck	4.9302	4.896791	4.9302	4.896791	4.9302	4.896791	4.9302	4.896791	4.9302	4.896791
bus	1.6970	3.456539	1.7482	3.416917	1.7960	3.201511	1.5290	3.826161	1.7573	3.306722

[1] “lb”

gran_valparaiso lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	6.9502	9.9990466	6.9720	9.6665549	6.3867	10.8360907	7.4691	8.8484288	7.0147	9.2413907
pedestrian	12.7100	12.9451985	12.5123	12.0839806	13.4466	12.8580820	11.7392	12.9681588	12.0752	11.8215794
cycle	2.9421	0.1076348	2.0786	0.5194030	3.1204	0.1040996	2.8693	0.0894872	2.8311	0.0954820
other	3.8767	0.0301064	3.8348	0.0290185	4.1158	0.0286911	3.6578	0.0275383	3.7458	0.0266086
motorcycle	121.7965	3.2812078	120.5165	3.1684699	129.1944	2.8650891	124.7413	2.5489331	85.9397	19.5988238
truck	1.5538	1.5432329	1.5538	1.5432329	1.5538	1.5432329	1.5538	1.5432329	1.5538	1.5432329
bus	0.0300	0.0611851	0.0300	0.0587291	0.0319	0.0568706	0.0271	0.0678059	0.0298	0.0560887

[1] NA

iquique_altohospicio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	15.3902	4.3525510	18.7213	5.0147411	15.6474	4.2098070	14.6591	4.5715689	16.7380	4.5738987
car	15.1838	7.3306122	16.5014	7.6688435	13.8216	7.6421817	15.6576	6.5568924	16.1961	7.0726876
cycle	108.1483	0.6872449	72.0910	6.6573185	114.2654	0.6164278	105.2573	0.6381383	117.7078	0.7269396
motorcycle	78.6938	2.5198980	88.0014	2.6640846	80.5810	2.2931184	77.6070	2.3618763	120.9277	14.3653173
truck	5.0388	1.1454082	5.0388	1.1454082	5.0388	1.1454082	5.0388	1.1454082	5.0388	1.1454082
bus	2.5092	0.6872449	3.1122	0.8230503	2.6394	0.6140811	2.2569	0.7983470	2.8021	0.6954945

[1] “ub”

iquique_altohospicio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	36.8781	10.429606	63.4181	16.987365	36.7627	9.890696	35.6253	11.110021	50.8975	13.908488
car	28.0403	13.537592	38.5860	17.932401	25.2802	13.977867	29.0325	12.157851	34.5478	15.086718
cycle	414.9287	2.636727	276.6273	25.545449	434.6202	2.344645	407.6825	2.471636	540.9422	3.340751
motorcycle	207.1735	6.634016	284.0301	8.598499	211.1096	6.007613	205.0494	6.240431	317.5529	37.722930
truck	12.3247	2.801593	12.3247	2.801593	12.3247	2.801593	12.3247	2.801593	12.3247	2.801593
bus	9.8339	2.693369	16.0307	4.239425	10.2182	2.377395	8.8923	3.145478	13.2410	3.286424

[1] “lb”

iquique_altohospicio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	7.2763	2.0578424	7.6383	2.0460268	7.4738	2.0107706	6.8283	2.1294470	7.2018	1.9679907
car	9.2745	4.4776331	9.4631	4.3978572	8.4697	4.6830450	9.5285	3.9902057	9.5481	4.1695675
cycle	29.3822	0.1867134	19.5740	1.8075782	31.2155	0.1683982	28.3290	0.1717487	29.4524	0.1818919
motorcycle	31.2194	0.9996945	32.5300	0.9847882	32.0261	0.9113776	30.7201	0.9349294	48.0885	5.7125513
truck	2.0601	0.4682906	2.0601	0.4682906	2.0601	0.4682906	2.0601	0.4682906	2.0601	0.4682906
bus	0.6868	0.1880933	0.7409	0.1959449	0.7261	0.1689484	0.6151	0.2175854	0.7010	0.1739839

[1] NA

medellin mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	60.0130	75.5178900	60.4816	71.5654896	63.2373	75.2126947	58.1474	76.0742285	62.4394	74.2695089
cycle	203.4152	10.0195726	158.7765	39.2508551	214.7934	9.3530707	205.4818	8.3018445	211.2451	9.6473120
motorcycle	101.5746	125.9868484	101.9486	124.5623773	109.5634	126.4616826	104.7210	115.2066599	97.8946	140.4775649
car	6.8183	4.4531434	6.8570	4.3449985	5.9797	5.8165461	6.9962	3.8862059	6.9650	4.2189101
auto_rickshaw	195.5191	0.1855476	195.0599	0.1851119	207.5336	0.1590745	207.8533	0.1441463	205.1990	0.1872441
truck	2.5887	1.1132858	2.5863	1.1122384	2.6356	1.1334723	2.5619	1.1017433	2.6218	1.1275163
bus	2.1451	2.7832146	2.1583	2.7040648	2.1863	2.6328782	1.9967	3.5300549	2.1837	2.6120820

[1] “ub”

medellin ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	71.3141	89.738667	73.0024	86.380949	75.0718	89.288298	69.1562	90.477109	74.0864	88.123135
cycle	303.1832	14.933822	236.7741	58.532504	319.7052	13.921403	306.6371	12.388706	314.4582	14.360927
motorcycle	117.3443	145.546556	119.4602	145.958325	126.4965	146.006431	120.9989	133.114522	113.0327	162.200617
car	12.0148	7.847041	12.1124	7.675190	10.4948	10.208525	12.3367	6.852756	12.3419	7.475884
auto_rickshaw	1453.5691	1.379437	1454.4860	1.380307	1542.6314	1.182427	1545.2692	1.071644	1525.2395	1.391781
truck	8.2707	3.556854	8.2786	3.560253	8.4645	3.640223	8.1595	3.509047	8.4065	3.615264
bus	4.4238	5.739837	4.4588	5.586231	4.5484	5.477632	4.0691	7.194188	4.5341	5.423492

[1] “lb”

medellin lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	50.7862	63.9072762	50.7911	60.0991553	53.5452	63.6851925	49.1482	64.3006069	52.9017	62.9246511
cycle	137.1364	6.7548952	106.9897	26.4487385	144.9971	6.3138276	138.3597	5.5899894	142.5876	6.5118053
motorcycle	88.4302	109.6833831	88.1637	107.7198097	95.3968	110.1100658	91.1104	100.2332278	85.2686	122.3594129
car	4.0464	2.6427847	4.0658	2.5763249	3.5585	3.4614518	4.1499	2.3051926	4.1172	2.4939452
auto_rickshaw	26.3080	0.0249663	26.1810	0.0248457	27.9286	0.0214073	27.9670	0.0193951	27.6152	0.0251989
truck	0.8431	0.3625632	0.8417	0.3619593	0.8544	0.3674488	0.8366	0.3597705	0.8511	0.3660278
bus	1.1366	1.4746748	1.1431	1.4321018	1.1529	1.3883672	1.0646	1.8822730	1.1528	1.3788881

[1] NA

mexico_city mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	73.0351	502.387887	74.4091	485.801255	74.2080	478.814005	69.4316	502.119143	102.9110	675.649325
cycle	121.7899	32.285115	93.3651	134.086879	124.3868	29.879874	119.5318	28.321826	164.2893	40.692656
car	35.9935	288.203709	36.3136	283.963201	33.9380	317.401200	37.2254	250.214597	42.1252	318.247871
motorcycle	178.1959	102.367438	181.4207	101.980491	184.5348	96.907410	181.7255	86.813391	148.5436	277.856186
other	1396.2134	48.821393	1417.3689	47.646981	1429.5920	47.102985	1385.4221	41.743806	1926.2490	64.929521
truck	2.0243	9.449302	2.0243	9.449302	2.0243	9.449302	2.0243	9.449302	2.0243	9.449302
bus	1.0021	11.024186	1.0085	10.759209	1.0175	10.273852	0.9622	12.774635	1.0523	10.874096

[1] “ub”

mexico_city ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	86.7711	596.87380	90.5291	591.04546	87.9869	567.72051	82.5498	596.98840	122.0641	801.39651
cycle	202.4369	53.66369	155.4094	223.19215	206.5427	49.61516	199.3892	47.24322	266.9894	66.13035
car	42.9765	344.11750	43.7594	342.18689	40.4510	378.31253	44.4515	298.78536	50.9789	385.13628
motorcycle	242.6266	139.38066	251.5467	141.39985	250.6830	131.64478	247.5520	118.25985	202.4931	378.77074
other	2112.4578	73.86631	2176.7407	73.17441	2159.6359	71.15687	2103.1298	63.36888	2850.2333	96.07495
truck	3.9064	18.23497	3.9064	18.23497	3.9064	18.23497	3.9064	18.23497	3.9064	18.23497
bus	2.4525	26.98013	2.4843	26.50379	2.5081	25.32571	2.2948	30.46852	2.8739	29.69806

[1] “lb”

mexico_city lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	62.0063	426.523634	62.3141	406.835638	63.0965	407.119269	58.9160	426.072382	87.2766	573.003366
cycle	75.5553	20.028850	57.8566	83.091129	77.2297	18.551915	73.9580	17.523596	103.5593	25.650508
car	30.3504	243.018992	30.4708	238.273346	28.6608	268.046455	31.3844	210.953522	35.0492	264.790389
motorcycle	132.0723	75.871000	132.8828	74.696313	137.0200	71.955259	134.6145	64.307657	109.9595	205.683168
other	965.8908	33.774304	969.9563	32.606537	990.0598	32.621036	956.7537	28.827706	1346.6608	45.392906
truck	1.0490	4.896599	1.0490	4.896599	1.0490	4.896599	1.0490	4.896599	1.0490	4.896599
bus	0.5021	5.523522	0.5046	5.383122	0.5088	5.137579	0.4853	6.443834	0.5110	5.280585

[1] NA

montevideo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	127.1312	18.6166299	125.4761	17.210262	135.1394	18.0930074	117.0286	18.2601845	129.2319	18.0942501
car	96.8602	13.8778514	96.5548	13.400615	92.6601	15.8650608	100.5142	11.7081415	102.0489	13.1622717
cycle	589.5159	4.4002943	450.9948	14.498265	622.1760	4.2353078	573.1258	3.8700318	607.3209	4.1785199
motorcycle	1322.2945	46.0338484	1307.4439	43.734539	1400.8035	45.0757077	1326.7599	36.2424835	1194.2829	68.5407893
truck	12.0134	1.0154525	12.0134	1.015453	12.0134	1.0154525	12.0134	1.0154525	12.0134	1.0154525
bus	1.3937	0.3384842	1.4026	0.328266	1.4228	0.3029923	1.3348	0.3959394	1.4101	0.3141271

[1] “ub”

montevideo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	198.3023	29.038661	195.1154	26.761966	208.2021	27.874932	183.2159	28.587512	204.6457	28.653227
car	163.2981	23.396881	162.2034	22.511815	155.5828	26.638539	169.0813	19.695001	173.2782	22.349433
cycle	1376.5005	10.274544	1053.5193	33.867796	1438.8846	9.794847	1348.1458	9.103354	1425.8535	9.810228
motorcycle	1885.5456	65.642657	1859.4544	62.199520	1979.7780	63.706217	1904.7609	52.031468	1703.1018	97.742287
truck	38.1195	3.222105	38.1195	3.222105	38.1195	3.222105	38.1195	3.222105	38.1195	3.222105
bus	10.2983	2.501054	10.3639	2.425552	10.5133	2.238806	9.8630	2.925590	10.4195	2.321080

[1] “lb”

montevideo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	84.5359	12.3791268	83.5522	11.4599900	90.6987	12.1431003	77.5962	12.1074760	84.6325	11.8497250
car	59.1422	8.4737243	59.0781	8.1993059	56.7490	9.7164398	61.4688	7.1600401	61.8329	7.9752118
cycle	264.9628	1.9777489	202.5700	6.5120769	282.0292	1.9198435	256.0114	1.7287173	270.9317	1.8640781
motorcycle	954.9092	33.2438391	944.9573	31.6092130	1017.9869	32.7572543	952.3490	26.0148759	861.5960	49.4476381
truck	3.7861	0.3200218	3.7861	0.3200218	3.7861	0.3200218	3.7861	0.3200218	3.7861	0.3200218
bus	0.1886	0.0458093	0.1898	0.0444264	0.1926	0.0410059	0.1807	0.0535851	0.1908	0.0425129

[1] NA

osorno mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	22.7598	5.7270408	22.4025	5.3323737	23.4657	5.5696418	21.5952	5.8995839	21.6774	5.2326046
car	24.7706	7.7887755	24.8309	7.5120395	22.1570	8.2134335	25.5833	6.9777388	24.9495	7.1720948
cycle	12.0119	0.2290816	10.0189	0.7472002	12.4468	0.2104352	11.7991	0.1985371	11.4687	0.2084666
motorcycle	45.5044	1.1454082	46.5338	1.0636982	45.5475	1.0859062	44.7088	1.0726431	69.2111	6.1989133
truck	10.1978	1.6035714	10.1978	1.6035714	10.1978	1.6035714	10.1978	1.6035714	10.1978	1.6035714

[1] “ub”

osorno ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	44.3791	11.167093	43.7431	10.412012	45.5308	10.806851	42.6048	11.639180	42.4105	10.237249
car	43.5930	13.707238	43.6369	13.201398	38.9306	14.431263	45.2242	12.334720	43.7703	12.582430
cycle	95.4709	1.820749	79.6669	5.941471	98.7762	1.669989	94.1317	1.583908	91.2541	1.658726
motorcycle	172.7219	4.347643	176.8447	4.042425	172.5140	4.112941	170.5096	4.090830	263.4515	23.596100
truck	21.7172	3.414948	21.7172	3.414948	21.7172	3.414948	21.7172	3.414948	21.7172	3.414948

[1] “lb”

osorno lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	11.9673	3.0113167	11.7641	2.8001695	12.4032	2.9439257	11.2208	3.0654017	11.3633	2.7429297
car	14.7135	4.6264777	14.7669	4.4674020	13.1852	4.8876382	15.1331	4.1275012	14.8593	4.2715407
cycle	1.5156	0.0289052	1.2636	0.0942390	1.5730	0.0265943	1.4832	0.0249568	1.4456	0.0262761
motorcycle	12.0992	0.3045538	12.3572	0.2824690	12.1399	0.2894296	11.8257	0.2837200	18.3486	1.6433941
truck	4.7886	0.7529958	4.7886	0.7529958	4.7886	0.7529958	4.7886	0.7529958	4.7886	0.7529958

[1] NA

puerto_montt mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	42.0006	13.5158163	41.5850	12.5524148	43.2784	12.9463182	39.6794	13.9282516	40.4537	12.4927183
car	11.3746	6.8724490	11.4059	6.6648685	10.4075	7.1611442	11.7836	6.2991096	11.3938	6.4548372
motorcycle	169.5124	0.9163265	170.5120	0.8563746	175.2827	0.8553068	164.9084	0.8277679	108.2557	10.2298904
cycle	79.6979	0.4581633	50.0583	4.2591074	83.8780	0.4041241	76.5418	0.4316385	76.2855	0.4385465
truck	5.5406	1.6035714	5.5406	1.6035714	5.5406	1.6035714	5.5406	1.6035714	5.5406	1.6035714
bus	0.8997	0.4581633	0.8942	0.4442485	0.9332	0.4219770	0.8459	0.5026761	0.8914	0.4196498

[1] “ub”

puerto_montt ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	70.6603	22.738532	70.1449	21.173203	72.2980	21.627234	67.5135	23.698596	68.3355	21.103038
car	20.1000	12.144300	20.1431	11.770354	18.3350	12.615772	20.8803	11.161858	20.0820	11.376860
motorcycle	743.8968	4.021254	751.1217	3.772413	765.6456	3.736032	730.6822	3.667705	478.8350	45.248711
cycle	346.0750	1.989499	217.4813	18.503948	363.4663	1.751181	333.3802	1.880015	331.4275	1.905294
truck	11.7993	3.414948	11.7993	3.414948	11.7993	3.414948	11.7993	3.414948	11.7993	3.414948
bus	6.7497	3.437099	6.7084	3.332972	6.9995	3.165030	6.3463	3.771105	6.6877	3.148228

[1] “lb”

puerto_montt lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	26.7752	8.6162851	26.4647	7.9883504	27.7598	8.3040704	25.0552	8.7948814	25.7333	7.9468237
car	6.6472	4.0162002	6.6689	3.8969026	6.0978	4.1957256	6.8694	3.6721162	6.6727	3.7802509
motorcycle	43.4005	0.2346085	43.5306	0.2186270	45.0713	0.2199290	41.8721	0.2101799	27.5579	2.6041555
cycle	18.4026	0.1057922	11.5530	0.9829620	19.4071	0.0935034	17.6212	0.0993705	17.6058	0.1012114
truck	2.6017	0.7529958	2.6017	0.7529958	2.6017	0.7529958	2.6017	0.7529958	2.6017	0.7529958
bus	0.1200	0.0611272	0.1193	0.0592665	0.1245	0.0563089	0.1129	0.0670651	0.1189	0.0559880

[1] NA

san_antonio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	17.4146	2.8519751	17.2761	2.6995008	16.0427	2.4906014	17.6805	3.3184558	19.6683	3.1233840
car	9.3741	3.3699398	9.3860	3.2294413	7.4930	3.2046539	10.4284	3.1330080	11.0347	3.4491619
cycle	64.4552	0.2689038	37.1739	2.2009813	61.4349	0.2316371	67.9880	0.2551047	73.5051	0.3053182
other	39.4440	0.2633219	38.4484	0.2552725	30.1947	0.0913646	38.6105	0.2232303	52.1940	0.2922394
motorcycle	23.0143	0.2202140	22.9629	0.2054472	23.7951	0.1717164	25.2193	0.2086202	17.3722	1.1978922
truck	5.3610	1.3388402	5.3610	1.3388402	5.3610	1.3388402	5.3610	1.3388402	5.3610	1.3388402

[1] “ub”

san_antonio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	116.3383	19.052597	115.2940	18.015410	105.8991	16.440697	117.4555	22.045235	150.8295	23.952114
car	56.1034	20.168944	56.0082	19.270674	44.0309	18.831349	62.1368	18.667744	76.3877	23.876874
cycle	934.2915	3.897817	535.6126	31.712363	862.3366	3.251397	974.7996	3.657643	1193.3888	4.956979
other	490.2866	3.273080	478.2162	3.175044	455.5422	1.378402	464.8262	2.687439	704.1769	3.942757
motorcycle	274.5103	2.626666	274.7744	2.458386	278.6239	2.010682	299.5548	2.477989	223.8070	15.432502
truck	26.9091	6.720243	26.9091	6.720243	26.9091	6.720243	26.9091	6.720243	26.9091	6.720243

[1] “lb”

san_antonio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	3.0431	0.4983599	3.0219	0.4721936	2.8415	0.4411390	3.0944	0.5807923	3.1331	0.4975492
car	1.7433	0.6267093	1.7488	0.6017104	1.4120	0.6038787	1.9423	0.5835239	1.8877	0.5900379
cycle	4.7861	0.0199675	2.7344	0.1618964	4.6974	0.0177114	5.1063	0.0191599	5.0499	0.0209756
other	3.5344	0.0235952	3.4432	0.0228604	2.1800	0.0065964	3.5878	0.0207430	4.4175	0.0247340
motorcycle	1.9911	0.0190520	1.9801	0.0177156	2.0975	0.0151368	2.1894	0.0181108	1.4081	0.0970937
truck	1.1244	0.2807968	1.1244	0.2807968	1.1244	0.2807968	1.1244	0.2807968	1.1244	0.2807968

[1] NA

santiago mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	62.7751	121.276050	62.2674	113.848075	66.2731	119.535488	60.7942	125.552760	62.8314	115.865602
car	26.0109	71.218394	26.1379	69.065013	24.5063	80.910158	27.4340	63.220644	26.4719	68.339987
cycle	116.1543	28.214316	96.5181	61.657848	123.5694	26.410867	116.4536	24.872559	116.7854	26.581563
motorcycle	166.1260	43.004078	164.2585	41.859537	172.3352	42.202625	167.8302	36.889022	142.3469	98.770314
other	163.7739	2.502883	161.4594	2.358486	174.8155	2.461061	163.4342	2.282939	164.3422	2.346609
truck	4.2952	7.508648	4.2560	7.439980	4.3996	7.690997	4.2466	7.423588	4.2817	7.484892
bus	1.0643	5.233301	1.0623	5.122458	1.1053	5.015210	1.0117	5.775803	1.0773	5.000338

[1] “ub”

santiago ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	76.2830	147.372020	76.4285	139.739837	80.1382	144.543623	73.8573	152.530828	77.3204	142.584308
car	31.6425	86.637652	31.9377	84.389940	29.7603	98.256641	33.3812	76.925866	32.3891	83.615747
cycle	157.8624	38.345380	131.2556	83.848904	167.2799	35.753240	158.3853	33.828464	160.2432	36.473018
motorcycle	215.4653	55.776255	214.3999	54.637544	222.9990	54.609526	217.7256	47.856031	184.6644	128.133180
other	330.4931	5.050778	327.8424	4.788893	352.0577	4.956285	329.6386	4.604573	333.3133	4.759314
truck	7.5547	13.206563	7.5086	13.126037	7.7400	13.530564	7.4615	13.043653	7.5527	13.203136
bus	2.0665	10.161536	2.0648	9.956565	2.1607	9.803921	1.9496	11.130437	2.0978	9.737087

[1] “lb”

santiago lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	52.8481	102.097826	52.3378	95.693047	55.9533	100.921848	51.1581	105.652140	52.3711	96.576023
car	21.6427	59.258114	21.7423	57.450344	20.4140	67.399017	22.8060	52.555494	21.9348	56.626977
cycle	87.1409	21.166858	72.3648	46.228180	92.9808	19.873065	87.3085	18.647646	86.9087	19.781328
motorcycle	129.3484	33.483668	127.7597	32.558206	134.3676	32.904864	130.5979	28.705386	110.7826	76.868782
other	81.8159	1.250356	80.5635	1.176816	87.4272	1.230805	81.6633	1.140718	81.7164	1.166812
truck	2.4607	4.301582	2.4381	4.262030	2.5184	4.402562	2.4347	4.256093	2.4472	4.277990
bus	0.5659	2.782505	0.5653	2.725999	0.5841	2.650365	0.5412	3.090113	0.5717	2.653648

[1] NA

sao_paulo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	165.6989	391.444962	163.9262	369.063524	174.5668	381.735195	154.2916	388.950885	194.6493	437.374193
other	66.1872	1.441407	65.7603	1.317858	69.3384	1.424238	64.2333	1.139318	79.2509	1.448498
car	60.8164	164.732230	61.0334	159.161556	58.0876	190.592273	63.2252	139.999663	66.4881	166.867067
motorcycle	1269.3434	424.391408	1261.7899	411.128447	1324.3893	402.632946	1279.9723	342.316918	1110.9969	958.063133
cycle	591.3154	37.682498	400.7301	220.908576	622.0851	34.583294	575.4208	32.903777	668.3499	40.689663
truck	8.4281	14.619985	8.3716	14.521937	8.5575	14.844372	8.2565	14.322331	8.9441	15.515091
bus	2.7345	9.678019	2.7308	9.326609	2.8911	9.043648	2.4592	10.810567	3.0614	10.003966

[1] “ub”

sao_paulo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	180.1010	425.468491	179.7207	404.62334	189.3408	414.042357	167.7428	422.85966	212.5004	477.485416
other	141.5049	3.081656	141.0796	2.82728	148.1949	3.043979	137.3150	2.43558	169.4941	3.097907
car	67.2938	182.277330	67.7440	176.66122	64.2035	210.659170	69.9619	154.91671	73.9638	185.628982
motorcycle	1368.6248	457.585066	1368.5829	445.92475	1426.9339	433.807957	1380.5222	369.20806	1197.7619	1032.884543
cycle	731.8628	46.639103	496.2191	273.54839	768.9145	42.745911	712.9301	40.76685	826.1781	50.298367
truck	11.7653	20.408830	11.7019	20.29890	11.9621	20.750308	11.5002	19.94906	12.5644	21.794953
bus	4.1422	14.660391	4.1481	14.16740	4.3825	13.708747	3.7189	16.34819	4.6515	15.200019

[1] “lb”

sao_paulo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	153.0143	361.4792387	150.7787	339.4631191	161.4996	353.1604207	142.4351	359.0619628	178.8530	401.8800750
other	30.9725	0.6745095	30.7018	0.6152731	32.4557	0.6666518	30.0599	0.5331773	37.0689	0.6775218
car	55.0712	149.1702567	55.1984	143.9452230	52.6533	172.7616452	57.2442	126.7560297	59.8948	150.3196940
motorcycle	1178.9139	394.1572610	1168.8102	380.8329008	1230.7486	374.1648700	1188.2394	317.7837849	1031.8835	889.8400490
cycle	478.8777	30.5172346	324.3719	178.8149764	504.4493	28.0436178	465.5111	26.6189098	541.7678	32.9832506
truck	6.0672	10.5244984	6.0247	10.4508512	6.1520	10.6716874	5.9559	10.3314249	6.4002	11.1022635
bus	1.8072	6.3960504	1.8021	6.1549096	1.9093	5.9723478	1.6279	7.1563511	2.0170	6.5911230

[1] NA

temuco_padrelascasas mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	21.1653	9.1632653	20.6253	8.4450674	22.2844	9.1477095	20.2168	9.4805464	20.2550	8.4653954
car	15.7637	8.0178571	15.7767	7.7451656	14.3855	8.6564787	16.4237	6.7418799	15.8242	7.4128984
cycle	41.0747	2.0617347	25.7282	3.6126240	43.2081	1.9172749	39.1443	1.7058065	39.6746	1.8856022
motorcycle	45.9009	1.8326531	46.4268	1.7528001	47.5470	1.7431457	41.4896	1.4873599	51.0712	7.4487762
truck	1.8414	0.4581633	1.8414	0.4581633	1.8414	0.4581633	1.8414	0.4581633	1.8414	0.4581633

[1] “ub”

temuco_padrelascasas ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	64.6292	27.980383	63.2075	25.880442	67.3884	27.662891	62.4751	29.297261	62.1030	25.955402
car	52.1751	26.537810	52.1949	25.623763	47.6561	28.677019	54.6135	22.418744	52.3774	24.536313
cycle	132.0760	6.629528	84.1024	11.809259	138.3479	6.138917	126.8391	5.527312	127.3199	6.051087
motorcycle	188.6573	7.532394	190.5612	7.194464	195.3265	7.160965	168.9651	6.057227	220.7109	32.190885
truck	10.8215	2.692553	10.8215	2.692553	10.8215	2.692553	10.8215	2.692553	10.8215	2.692553

[1] “lb”

temuco_padrelascasas lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	7.6461	3.3102766	7.4281	3.0414405	8.1052	3.3271598	7.2484	3.3991026	7.3041	3.0526735
car	5.0490	2.5680684	5.0525	2.4804145	4.6053	2.7712534	5.2385	2.1503741	5.0670	2.3736544
cycle	13.4291	0.6740733	8.2926	1.1644096	14.1707	0.6287982	12.7231	0.5544404	12.9878	0.6172647
motorcycle	11.6224	0.4640387	11.7715	0.4444220	12.0386	0.4413538	10.6209	0.3807467	12.4144	1.8106522
truck	0.3210	0.0798754	0.3210	0.0798754	0.3210	0.0798754	0.3210	0.0798754	0.3210	0.0798754

[1] NA

valdivia mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	11.1709	2.4658374	11.1458	2.3133532	10.9289	2.2432980	11.2539	2.7771376	10.9551	2.3218241
car	9.3230	3.3723376	9.3950	3.2410444	8.3130	3.5135348	9.4577	2.9393699	9.2864	3.1020623
cycle	30.0392	0.9870056	20.0280	1.9592776	29.9848	0.8931781	29.7699	0.9060076	29.6798	0.9108498
motorcycle	25.3734	0.6978317	25.7117	0.6332570	25.0987	0.6674989	25.4428	0.6779288	29.5951	2.7270232
bus	1.6756	0.4404724	1.6671	0.4194297	1.7185	0.3796737	1.5916	0.5228542	1.6908	0.4013434

[1] “ub”

valdivia ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	58.2753	12.863515	57.9674	12.031404	57.1025	11.721060	58.3606	14.401670	56.9006	12.059469
car	55.1287	19.941277	55.5448	19.161539	48.8049	20.627643	56.0335	17.414751	54.9810	18.366111
cycle	229.7493	7.548942	160.2718	15.678908	229.6830	6.841716	227.6800	6.929146	226.5977	6.954101
motorcycle	234.6321	6.452981	235.4310	5.798471	232.4446	6.181841	231.4583	6.167249	303.5850	27.973656
bus	13.0829	3.439182	13.0726	3.289011	13.3071	2.939967	12.9609	4.257812	13.2191	3.137834

[1] “lb”

valdivia lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	2.2980	0.5072599	2.2999	0.4773500	2.2485	0.4615350	2.3258	0.5739442	2.2627	0.4795490
car	1.7844	0.6454652	1.7995	0.6207712	1.6065	0.6789815	1.8048	0.5609040	1.7775	0.5937680
cycle	4.4856	0.1473832	2.8908	0.2828025	4.4748	0.1332947	4.4471	0.1353431	4.4461	0.1364463
motorcycle	3.3639	0.0925168	3.4558	0.0851126	3.3219	0.0883452	3.4256	0.0912762	3.5244	0.3247522
bus	0.2652	0.0697149	0.2629	0.0661475	0.2738	0.0604884	0.2436	0.0800302	0.2675	0.0634863

[1] NA

accra mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	128.1403	112.437521	126.9727	104.26570	138.6244	112.619452	113.9726	98.914718	135.0009	112.151647
cycle	449.4991	8.195155	330.0390	39.88491	486.4779	7.999277	407.0136	5.972110	477.9979	8.060479
car	103.3258	22.290821	104.6050	21.48435	84.9629	25.627176	106.9012	17.109797	111.9036	22.205283
motorcycle	555.4034	23.110336	546.1697	22.70619	604.3113	22.057361	537.3007	16.061799	413.8102	56.981287
truck	60.4272	4.917093	60.2406	4.90191	61.0690	4.969315	59.3937	4.832998	60.8439	4.951004
bus	14.5731	10.325895	14.5163	10.04909	15.3880	10.011333	13.2087	10.928178	15.2276	9.901419

[1] “ub”

accra ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	149.1052	130.833323	151.1816	124.145189	160.3738	130.288850	133.0782	115.496078	159.2378	132.286415
cycle	612.4752	11.166494	449.7640	54.353563	661.3056	10.874013	555.2809	8.147636	656.5131	11.070780
car	134.7040	29.060121	138.7766	28.502702	110.5998	33.359987	139.1064	22.264325	147.0353	29.176536
motorcycle	717.1341	29.839949	717.6742	29.836230	777.0346	28.361764	696.9053	20.832938	535.4027	73.724449
truck	99.6527	8.108961	99.3974	8.088181	101.3842	8.249855	96.8185	7.878335	100.8600	8.207198
bus	20.9875	14.870893	21.0866	14.597498	22.1935	14.438919	18.9275	15.659635	22.0417	14.332163

[1] “lb”

accra lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	111.8889	98.177618	110.4216	90.674504	121.5647	98.760071	99.2172	86.108812	116.3101	96.624322
cycle	330.5584	6.026658	242.6660	29.325954	358.5138	5.895132	298.9663	4.386732	348.8337	5.882382
car	79.7972	17.214916	80.5531	16.544430	65.6916	19.814430	82.6352	13.225970	85.7453	17.014640
motorcycle	434.0420	18.060488	425.2626	17.679656	473.8924	17.297074	417.9063	12.492682	322.7523	44.442692
truck	38.3191	3.118110	38.2409	3.111747	38.5563	3.137414	37.9411	3.087353	38.4623	3.129761
bus	10.1722	7.207644	10.1209	7.006305	10.7216	6.975369	9.2637	7.664293	10.5789	6.878695

[1] NA

bangalore mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	294.0468	393.57928	291.6632	370.76791	336.1150	434.72547	284.6401	407.44600	287.8211	360.73540
car	150.0298	33.24149	148.6018	32.25796	120.0335	55.20311	152.3854	29.83436	154.2415	28.42436
motorcycle	171.1464	398.89792	170.3649	385.70468	202.2754	441.52891	176.1209	363.44983	158.0055	406.46949
cycle	134.2029	25.26353	114.0270	55.73971	154.6491	26.61472	133.1968	22.81831	132.1667	21.69632
other	1904.6280	15.95592	1880.2543	15.09975	2150.5712	16.89119	1942.4389	14.32295	1877.4962	13.80297
truck	131.6916	13.29660	131.6916	13.29660	131.6916	13.29660	131.6916	13.29660	131.6916	13.29660
bus	13.6383	15.95592	13.6509	15.46275	14.3801	15.70140	12.9314	18.87003	13.9754	13.77448

[1] “ub”

bangalore ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	361.8257	484.30075	362.2826	460.54055	412.2823	533.23902	350.5022	501.72391	353.8024	443.43192
car	269.0562	59.61368	267.9175	58.15859	215.3687	99.04755	273.2809	53.50358	276.3380	50.92491
motorcycle	212.2047	494.59437	213.4090	483.15629	249.5130	544.63955	218.4642	450.83099	195.8797	503.90117
cycle	218.8340	41.19522	185.9008	90.87370	251.9138	43.35373	217.3346	37.23219	215.4697	35.37123
other	4376.5127	36.66400	4347.8698	34.91642	4855.3551	38.13531	4476.6069	33.00913	4330.2502	31.83511
truck	247.8735	25.02721	247.8735	25.02721	247.8735	25.02721	247.8735	25.02721	247.8735	25.02721
bus	30.9160	36.16974	30.9544	35.06287	33.1625	36.20955	29.1099	42.47824	31.6417	31.18669

[1] “lb”

bangalore lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	241.6049	323.386205	239.3062	304.210671	276.5400	357.672243	233.7041	334.534018	236.5764	296.508803
car	84.2478	18.666451	83.3256	18.088027	67.3587	30.978114	85.5548	16.750125	86.6589	15.969922
motorcycle	139.7560	325.735204	138.8847	314.433897	165.6505	361.583610	143.6997	296.544147	129.0072	331.871420
cycle	82.5221	15.534678	70.1238	34.278547	95.1559	16.376091	81.8674	14.024935	81.2812	13.343027
other	902.2674	7.558696	888.4551	7.134912	1029.6778	8.087376	918.3491	6.771626	887.3213	6.523405
truck	69.9659	7.064291	69.9659	7.064291	69.9659	7.064291	69.9659	7.064291	69.9659	7.064291
bus	6.3131	7.385953	6.3242	7.163550	6.5651	7.168319	6.0185	8.782412	6.4746	6.381470

[1] NA

cape_town mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	789.0843	331.988873	801.3425	323.073626	850.0153	325.257853	728.4018	306.794437	827.9439	332.374740
car	340.3576	188.431605	349.7411	188.381250	329.9250	205.737229	359.2379	166.992823	368.3968	192.708269
cycle	2248.8923	7.715949	1498.4717	104.362033	2485.7650	6.940877	2109.4889	7.006667	2373.5483	7.684482
motorcycle	7786.2810	47.717055	7895.1147	47.663597	8777.0031	44.562162	7244.9494	43.077382	4352.8262	350.264270
other	842.8863	2.030513	852.6063	1.960568	950.4515	1.803957	783.1260	1.886551	880.7431	2.121710
truck	28.5437	6.294590	28.7717	6.344878	30.4019	6.704376	26.4671	5.836641	29.8592	6.584691
bus	54.2745	20.305130	54.9320	20.248410	59.3576	20.007581	46.6591	21.879796	58.1236	20.072416

[1] “ub”

cape_town ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	859.5947	361.65448	898.1750	362.113154	922.1322	352.853336	796.5333	335.490635	924.7204	371.225303
car	378.1923	209.37797	398.3135	214.543775	365.8335	228.129340	399.6022	185.756294	417.8951	218.600804
cycle	3144.9420	10.79030	2095.5285	145.944443	3471.2858	9.692698	2953.3226	9.809461	3360.0038	10.878180
motorcycle	9290.0737	56.93282	9650.7711	58.262670	10432.5613	52.967678	8678.3285	51.600039	5200.7223	418.492973
other	1597.6671	3.84878	1636.8786	3.764002	1799.7628	3.415950	1485.3725	3.578262	1680.9863	4.049496
truck	46.9960	10.36379	48.1077	10.608943	49.6315	10.944982	44.0143	9.706248	49.4071	10.895482
bus	71.8369	26.87556	74.2559	27.371386	78.1328	26.336104	62.1910	29.163116	77.9150	26.907212

[1] “lb”

cape_town lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	727.7873	306.199589	728.7444	293.804606	786.6955	301.0285651	669.4019	281.9443704	748.3680	300.429334
car	307.7054	170.354455	312.3684	168.251122	298.7850	186.3187120	324.3836	150.7906919	327.5507	171.341672
cycle	1609.4077	5.521878	1072.3649	74.685549	1781.2319	4.9736449	1508.0040	5.0088354	1680.2027	5.439740
motorcycle	6613.1904	40.527945	6618.4563	39.956282	7475.8456	37.9559894	6134.2223	36.4731657	3693.7594	297.230317
other	444.9512	1.071887	446.1705	1.025969	502.1795	0.9531367	413.1442	0.9952644	461.9264	1.112781
truck	19.1334	4.219383	19.0706	4.205547	20.4397	4.5074657	17.6868	3.9003696	19.8281	4.372597
bus	41.5243	15.535037	41.5013	15.297738	45.6252	15.3788135	35.4857	16.6402497	43.9242	15.168808

[1] NA

delhi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	3182.7816	869.503820	3165.7179	824.119350	3297.0467	860.757840	2963.3910	836.175180	3104.7956	802.812719
cycle	2118.5811	101.678865	1849.9598	180.921132	2247.7585	96.310494	2048.3046	87.614897	2087.9164	91.214489
motorcycle	3849.4794	758.479472	3878.9309	723.436320	4148.9789	749.344169	3865.3168	651.582634	3475.3369	909.998309
car	771.7651	123.734206	779.3153	121.033510	699.6660	141.534992	782.6029	111.017899	805.7305	112.475343
truck	604.7529	49.717974	599.2890	49.268775	620.3744	51.002254	593.6986	48.809179	599.9633	49.324211
bus	39.9545	7.476387	40.0291	7.200227	41.6896	7.184743	36.0113	9.128015	40.9219	6.672195

[1] “ub”

delhi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	3438.0202	939.23243	3419.2477	890.11979	3556.0161	928.36682	3203.9517	904.05378	3359.5688	868.68989
cycle	2449.5659	117.56410	2138.7971	209.16865	2597.0171	111.27530	2369.2709	101.34402	2416.3188	105.56136
motorcycle	4168.6120	821.35955	4200.6480	783.43786	4488.1357	810.59905	4191.1630	706.51106	3765.1870	985.89401
car	915.9148	146.84518	924.5963	143.59673	829.8495	167.86973	929.1361	131.80469	957.1287	133.60967
truck	790.8367	65.01631	783.3894	64.40405	811.9262	66.75012	775.8917	63.78765	784.4958	64.49501
bus	79.6409	14.90260	79.7883	14.35190	83.0968	14.32081	71.7767	18.19371	81.5794	13.30127

[1] “lb”

delhi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	2952.9700	806.72159	2937.5199	764.713430	3063.3668	799.751195	2747.0842	775.140241	2875.7748	743.594394
cycle	1832.4645	87.94702	1600.2546	156.500630	1945.6166	83.364516	1770.9580	75.751578	1804.3029	78.824309
motorcycle	3555.7414	700.60303	3582.8241	668.211208	3836.4754	692.903141	3565.7758	601.088540	3208.6722	840.173591
car	650.9838	104.36980	657.5452	102.121693	590.5135	119.454594	659.8769	93.608318	679.0089	94.785737
truck	462.9372	38.05902	458.9284	37.729446	474.5079	39.010269	454.7609	37.386830	459.3222	37.761821
bus	20.0446	3.75079	20.0823	3.612303	20.9157	3.604591	18.0674	4.579652	20.5274	3.346923

[1] NA

vizag mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	271.4938	116.631639	264.9513	107.754776	385.0096	158.427479	235.3643	104.481076	302.2880	122.745358
cycle	364.6108	15.924705	265.5381	34.657642	515.4865	21.065562	317.2444	11.441625	409.5330	15.846326
motorcycle	602.4036	117.753097	602.3560	112.056015	868.5045	154.656819	575.0383	87.370480	540.8138	162.037376
other	136.9948	2.018625	139.4413	1.947792	196.8235	2.584106	126.2149	1.385278	145.3662	1.635268
car	391.2613	8.074498	384.4736	7.583587	272.3785	28.689573	383.2009	5.908039	405.0352	7.153874
truck	596.9618	7.177332	593.9316	7.140899	645.1276	7.756434	584.4033	7.026339	609.7275	7.330815
bus	6.4667	3.364374	6.5013	3.231982	6.8003	3.163492	6.1896	3.845853	6.6809	3.011875

[1] “ub”

vizag ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	321.8365	138.258473	314.0828	127.736372	457.4346	188.229610	279.6004	124.118014	357.2278	145.053884
cycle	486.1785	21.234285	354.0083	46.204637	689.5913	28.180424	423.1999	15.262979	545.4644	21.106008
motorcycle	707.4757	138.291760	707.1473	131.550293	1025.6998	182.648987	675.3855	102.617099	634.3555	190.064126
other	286.2518	4.217934	291.3428	4.069637	411.7827	5.406315	263.7747	2.895073	303.6069	3.415365
car	656.6528	13.551410	644.9153	12.720696	456.5557	48.088924	641.9833	9.897841	682.2295	12.049777
truck	1011.7004	12.163775	1002.6253	12.054664	1156.3137	13.902475	974.2230	11.713180	1049.6567	12.620128
bus	14.6185	7.605425	14.6257	7.270889	16.7866	7.809116	13.5942	8.446570	15.5131	6.993607

[1] “lb”

vizag lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	231.6327	99.5076001	226.1157	91.9604599	326.6576	134.416252	200.6601	89.0754631	258.4163	104.9310333
cycle	273.4848	11.9446930	199.2095	26.0005245	385.3899	15.749113	237.8619	8.5786445	307.5170	11.8989534
motorcycle	513.1716	100.3107241	513.3250	95.4936257	735.6856	131.005405	489.8423	74.4259346	461.2663	138.2035511
other	65.5648	0.9661007	66.7405	0.9322677	94.0795	1.235174	60.3951	0.6628691	69.6024	0.7829786
car	233.6926	4.8227378	229.7588	4.5319001	162.8869	17.156845	229.2842	3.5350116	241.0521	4.2575468
truck	371.0380	4.4610273	370.0262	4.4488623	387.0804	4.653906	366.8297	4.4104304	375.3313	4.5126459
bus	3.4212	1.7798975	3.4439	1.7120795	3.5086	1.632203	3.2997	2.0502172	3.5086	1.5817234

[1] NA

kisumu mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	56.2901	14.9479620	55.6493	13.9442760	66.3832	16.6642379	54.3472	14.4069689	54.7773	13.3592917
cycle	54.9226	1.5734697	47.4029	3.1057776	64.8822	1.7235766	53.5408	1.4166284	53.2910	1.4004867
car	52.3368	1.9668371	52.4719	1.8705998	53.8332	3.4648749	54.1387	1.4717718	53.4549	1.6650734
motorcycle	304.9732	29.8959240	302.6157	27.6744299	367.5672	31.6689437	303.0325	23.5404558	265.2120	33.6966196
other	872.1425	2.7535720	855.1834	2.7000278	843.0618	1.5539736	1125.2298	2.1151506	985.7780	2.4107202
truck	27.8103	0.3933674	27.8103	0.3933674	27.8103	0.3933674	27.8103	0.3933674	27.8103	0.3933674
bus	72.3582	7.4739810	71.4877	7.0162820	89.4966	7.9360737	64.4617	8.5005897	74.5978	6.0273827

[1] “ub”

kisumu ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	90.6847	24.081525	89.3197	22.381236	105.8159	26.563071	87.2336	23.124841	88.7488	21.644390
cycle	159.8588	4.579771	137.7138	9.022833	187.6474	4.984796	155.5306	4.115162	155.6237	4.089791
car	199.6101	7.501426	200.3357	7.141879	205.9881	13.258039	205.0037	5.573067	204.7757	6.378579
motorcycle	436.7380	42.812576	432.1982	39.524851	526.0973	45.327620	435.2147	33.808759	377.3898	47.949414
other	2024.7583	6.392668	1980.7860	6.253837	1942.1914	3.579944	2606.0207	4.898667	2297.8292	5.619341
truck	205.4899	2.906586	205.4899	2.906586	205.4899	2.906586	205.4899	2.906586	205.4899	2.906586
bus	150.6565	15.561515	148.7495	14.599268	180.7323	16.026353	135.1560	17.823075	156.7130	12.662163

[1] “lb”

kisumu lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	36.3768	9.6599474	36.0545	9.0343344	43.0241	10.8003694	35.1952	9.3299222	35.3185	8.6136119
cycle	19.1729	0.5492803	16.5705	1.0856782	22.7266	0.6037246	18.7167	0.4952225	18.5600	0.4877579
car	16.0495	0.6031479	16.0925	0.5736913	16.5013	1.0620735	16.6827	0.4535232	16.3297	0.5086562
motorcycle	219.5334	21.5204281	218.2213	19.9565043	263.2445	22.6806863	217.6751	16.9096418	192.0701	24.4035497
other	383.8493	1.2119081	377.0075	1.1903070	372.4103	0.6864453	496.0306	0.9324136	432.7571	1.0583076
truck	3.7638	0.0532370	3.7638	0.0532370	3.7638	0.0532370	3.7638	0.0532370	3.7638	0.0532370
bus	40.2773	4.1603004	39.8484	3.9109855	50.1896	4.4505406	35.9814	4.7448876	41.2895	3.3361221

[1] NA

nairobi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	186.8108	449.422279	186.5941	423.914825	198.6432	450.536762	179.6273	420.813908	185.1417	419.736491
car	74.6452	68.839299	74.5497	67.664961	72.8474	80.361580	78.1125	59.910867	75.3272	65.410624
cycle	106.4898	9.834186	87.1697	28.944320	112.7402	9.766582	105.1674	8.261455	105.8166	9.146711
motorcycle	616.5265	158.330387	614.0012	152.941925	660.6803	157.226278	608.7097	134.131701	529.1969	242.964978
other	579.0037	8.850767	576.4515	8.698135	615.7474	8.569634	575.0968	7.325870	578.4177	8.297112
truck	13.1925	4.917093	13.1925	4.917093	13.1925	4.917093	13.1925	4.917093	13.1925	4.917093
bus	13.3711	33.436231	13.3874	32.574926	14.4608	33.720506	12.2829	33.424076	13.4360	31.575799

[1] “ub”

nairobi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	221.5260	532.93873	224.3043	509.58700	234.7776	532.49208	212.8085	498.54778	220.7010	500.35321
car	107.6276	99.25634	108.8666	98.81271	105.0317	115.86572	112.3064	86.13697	108.9696	94.62413
cycle	204.0811	18.84661	167.0240	55.45958	215.8395	18.69798	201.5009	15.82896	203.2220	17.56637
motorcycle	780.7084	200.49399	787.8695	196.25089	833.7926	198.42293	771.5665	170.01788	669.8534	307.54319
other	1152.1652	17.61223	1156.5856	17.45184	1223.5463	17.02864	1143.7170	14.56924	1153.1462	16.54131
truck	32.2681	12.02689	32.2681	12.02689	32.2681	12.02689	32.2681	12.02689	32.2681	12.02689
bus	22.0432	55.12191	22.2957	54.25126	23.6722	55.20009	20.3312	55.32522	22.2153	52.20799

[1] “lb”

nairobi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	159.6349	384.043432	159.1313	361.523409	170.0870	385.769193	153.5210	359.654641	157.5302	357.138097
car	52.4836	48.401416	52.2849	47.456370	51.2062	56.488105	55.0220	42.200909	52.7818	45.833230
cycle	55.6791	5.141887	45.5839	15.135921	58.9956	5.110740	54.9977	4.320358	55.2165	4.772875
motorcycle	500.1672	128.448109	496.9947	123.796700	536.8411	127.755474	493.4171	108.726506	429.4505	197.169377
other	292.4568	4.470554	290.6104	4.385050	311.2963	4.332451	290.5609	3.701310	291.6116	4.183022
truck	5.3937	2.010313	5.3937	2.010313	5.3937	2.010313	5.3937	2.010313	5.3937	2.010313
bus	8.2971	20.748074	8.2878	20.166404	9.0246	21.043968	7.5933	20.662866	8.3105	19.530501

[1] NA

port_louis mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
motorcycle	1254.7881	19.9961773	1243.4102	18.0040202	1360.7282	18.4561011	1233.5440	16.803090	1123.2304	26.6666808
pedestrian	331.3352	14.4234721	315.3680	13.0252525	348.5091	14.0549064	301.6091	13.712420	357.4099	14.2797587
cycle	2177.2100	2.6224495	1546.5379	16.7116178	2314.5960	2.2810344	2202.0813	2.170151	2393.0201	2.1399582
truck	283.1557	1.6390309	276.8004	1.6022434	287.7674	1.6657257	272.1193	1.575147	291.0629	1.6848015
bus	36.9153	0.9834186	34.9955	0.9004504	40.8409	0.8942741	30.5802	1.052411	42.4048	0.9498459

[1] “ub”

port_louis ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
motorcycle	2157.5644	34.382730	2134.7265	30.909879	2334.5928	31.665016	2121.3364	28.896420	1935.0301	45.939667
pedestrian	592.6632	25.799437	565.5172	23.356855	621.3779	25.059342	543.4062	24.705538	636.4374	25.427869
cycle	6371.7385	7.674759	4530.3848	48.954546	6838.5017	6.739343	6456.3665	6.362749	7110.7233	6.358764
truck	1067.4940	6.179129	1039.5768	6.017532	1087.5362	6.295142	1019.4989	5.901312	1101.6777	6.376999
bus	129.3892	3.446915	122.8558	3.161140	143.0097	3.131416	107.6897	3.706122	148.0923	3.317195

[1] “lb”

port_louis lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
motorcycle	739.5004	11.7846038	734.1233	10.6297752	803.1942	10.8940436	727.2001	9.9057737	661.1011	15.6952403
pedestrian	186.8643	8.1344579	177.4680	7.3297417	197.1906	7.9524357	168.9139	7.6795371	202.3998	8.0865702
cycle	762.9872	0.9190181	541.2659	5.8488249	803.0799	0.7914353	769.9370	0.7587729	825.2861	0.7380121
truck	76.6438	0.4436483	75.1967	0.4352718	77.7056	0.4497944	74.1055	0.4289555	78.4721	0.4542312
bus	10.5642	0.2814295	10.0001	0.2573084	11.6970	0.2561233	8.7136	0.2998757	12.1767	0.2727525

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	truck	rowSum
car	3	0.16	0.78	0		0.2	5
bus	0.27	0.01	0.06	0.55		0.02	0.92
truck	1	0.05	0.24	2		0	3
other	0.27	0.01	0.06	0.55		0.02	0.92
NOV			1	6	1	2	11
Total	5	0.23	2	10	1	2	21

			strike mode
measure	cas_mode	city	pedestrian	cycle	motorcycle	car	bus	truck	auto_rickshaw	rail	other	unknown	NOV	Total
lb	auto_rickshaw	medellin	0	0	0.01	0.01	0	0	0	0	0	0	0	0.02
mean			0	0	0.08	0.05	0.03	0.03	0	0	0	0	0	0.19
ub			0	0.01	0.57	0.34	0.23	0.23	0	0	0.01	0	0	1

Injrury Outcomes - WHW matrices

07 November, 2022

Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix of each case study (by baseline + scenarios)

Antofagasta

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Arica

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Belo Horizonte

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bogota

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Buenos Aires

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW